Manipulating colors in .NET

ontents

An application example converting from one color model to another.

Screenshot - colorSpaceSample1.png

Introduction

Why an article on "colors"? It's the same question I asked myself before writing this series.

The fact is, in .NET, there are only two color formats that can be used: the RGB color model and the HSB color model. Those two are encapsulated in the Color structure of the System.Drawing namespace.

It is largely sufficient for simple uses, like changing the background color of a component, but insufficient if we want to develop graphic tools (or something which implies conversion between color formats).

I've started looking for other formats, like CMYK, when I was learning how to add cool design-time support to my custom controls. 
But, I quickly understood the utilities I was coding would be more than useful in other projects, like my SVG editor.

That's why I publish this series of 3 articles. The proposed article content will be as follows:

  • Part 1: This one, will be an introduction into color spaces, and the most used ones.
  • Part 2: Will be about dedicated controls, or how to select/define a color with custom components. I will share a lot of my custom controls for this purpose.
  • Part 3: Will be about how to use those color controls at design-time. It will be a tutorial on how to create your own editors.

Let's start with some definitions

"Color (or colour, see spelling differences) is the visual perceptual property corresponding in humans to the categories called red, yellow, white, etc. Color derives from the spectrum of light (distribution of light energy versus wavelength) interacting in the eye with the spectral sensitivities of the light receptors. Color categories and physical specifications of color are also associated with objects, materials, light sources, etc., based on their physical properties such as light absorption, reflection, or emission spectra."

Color definition, Wikipedia.

"Colorimetry is the science that describes colors in numbers, or provides a physical color match using a variety of measurement instruments. Colorimetry is used in chemistry, and in industries such as color printing, textile manufacturing, paint manufacturing and in the food industry."

Colorimetry definition, Wikipedia.

Then, how can we display colors as numbers? the answer: color models.

I - Color models

A - RGB (Red Green Blue)

The RGB (Red, Green, Blue) color model is the most known, and the most used every day. It defines a color space in terms of three components:

  • Red, which ranges from 0-255
  • Green, which ranges from 0-255
  • Blue, which ranges from 0-255

The RGB color model is an additive one. In other words, Red, Green and Blue values (known as the three primary colors) are combined to reproduce other colors.
For example, the color "Red" can be represented as [R=255, G=0, B=0], "Violet" as [R=238, G=130, B=238], etc.

Its common graphic representation is the following image:

Screenshot - rgb.png

In .NET, the Color structure use this model to provide color support through R, G and B properties.

Console.WriteLine(String.Format("R={0}, G={1}, B={2}",
    Color.Red.R, Color.Red.G, Color.Red.B);
Console.WriteLine(String.Format("R={0}, G={1}, B={2}",
    Color.Cyan.R, Color.Cyan.G, Color.Cyan.B);
Console.WriteLine(String.Format("R={0}, G={1}, B={2}",
    Color.White.R, Color.White.G, Color.White.B);
Console.WriteLine(String.Format("R={0}, G={1}, B={2}",
    Color.SteelBlue.R, Color.SteelBlue.G, Color.SteelBlue.B);

// etc...

but this is not its only usage. For this reason, we can define a dedicated RGB structure for further coding, as shown below:

/// <summary>
/// RGB structure.
/// </summary>
public struct RGB
{
    /// <summary>
    /// Gets an empty RGB structure;
    /// </summary>
    public static readonly RGB Empty = new RGB();

    private int red;
    private int green;
    private int blue;

    public static bool operator ==(RGB item1, RGB item2)
    {
        return (
            item1.Red == item2.Red
            && item1.Green == item2.Green
            && item1.Blue == item2.Blue
            );
    }

    public static bool operator !=(RGB item1, RGB item2)
    {
        return (
            item1.Red != item2.Red
            || item1.Green != item2.Green
            || item1.Blue != item2.Blue
            );
    }

    /// <summary>
    /// Gets or sets red value.
    /// </summary>
    public int Red
    {
        get
        {
            return red;
        }
        set
        {
                red = (value>255)? 255 : ((value<0)?0 : value);
        }
    }

    /// <summary>
    /// Gets or sets red value.
    /// </summary>
    public int Green
    {
        get
        {
            return green;
        }
        set
        {
            green = (value>255)? 255 : ((value<0)?0 : value);
        }
    }

    /// <summary>
    /// Gets or sets red value.
    /// </summary>
    public int Blue
    {
        get
        {
            return blue;
        }
        set
        {
            blue = (value>255)? 255 : ((value<0)?0 : value);
        }
    }

    public RGB(int R, int G, int B)
    {
        this.red = (R>255)? 255 : ((R<0)?0 : R);
        this.green = (G>255)? 255 : ((G<0)?0 : G);
        this.blue = (B>255)? 255 : ((B<0)?0 : B);
    }

    public override bool Equals(Object obj)
    {
        if(obj==null || GetType()!=obj.GetType()) return false;

        return (this == (RGB)obj);
    }

    public override int GetHashCode()
    {
        return Red.GetHashCode() ^ Green.GetHashCode() ^ Blue.GetHashCode();
    }
}

B - HSB color space

The HSB (Hue, Saturation, Brightness) color model defines a color space in terms of three constituent components:

  • Hue : the color type (such as red, blue, or yellow).
    • Ranges from 0 to 360° in most applications. (each value corresponds to one color : 0 is red, 45 is a shade of orange and 55 is a shade of yellow).
  • Saturation : the intensity of the color.
    • Ranges from 0 to 100% (0 means no color, that is a shade of grey between black and white; 100 means intense color).
    • Also sometimes called the "purity" by analogy to the colorimetric quantities excitation purity.
  • Brightness (or Value) : the brightness of the color.
    • Ranges from 0 to 100% (0 is always black; depending on the saturation, 100 may be white or a more or less saturated color).

Its common graphic representation is the following image:

Screenshot - hsv.png

The HSB model is also known as HSV (Hue, Saturation, Value) model. The HSV model was created in 1978 byAlvy Ray Smith. It is a nonlinear transformation of the RGB color space. In other words, color is not defined as a simple combination (addition/substraction) of primary colors but as a mathematical transformation.

Note: HSV and HSB are the same, but HSL is different.

All this said, a HSB structure can be :

/// <summary>
/// Structure to define HSB.
/// </summary>
public struct HSB
{
    /// <summary>
    /// Gets an empty HSB structure;
    /// </summary>
    public static readonly HSB Empty = new HSB();

    private double hue;
    private double saturation;
    private double brightness;

    public static bool operator ==(HSB item1, HSB item2)
    {
        return (
            item1.Hue == item2.Hue
            && item1.Saturation == item2.Saturation
            && item1.Brightness == item2.Brightness
            );
    }

    public static bool operator !=(HSB item1, HSB item2)
    {
        return (
            item1.Hue != item2.Hue
            || item1.Saturation != item2.Saturation
            || item1.Brightness != item2.Brightness
            );
    }

    /// <summary>
    /// Gets or sets the hue component.
    /// </summary>
    public double Hue
    {
        get
        {
            return hue;
        }
        set
        {
            hue = (value>360)? 360 : ((value<0)?0:value);
        }
    }

    /// <summary>
    /// Gets or sets saturation component.
    /// </summary>
    public double Saturation
    {
        get
        {
            return saturation;
        }
        set
        {
            saturation = (value>1)? 1 : ((value<0)?0:value);
        }
    }

    /// <summary>
    /// Gets or sets the brightness component.
    /// </summary>
    public double Brightness
    {
        get
        {
            return brightness;
        }
        set
        {
            brightness = (value>1)? 1 : ((value<0)? 0 : value);
        }
    }

    /// <summary>
    /// Creates an instance of a HSB structure.
    /// </summary>
    /// <param name="h">Hue value.</param>
    /// <param name="s">Saturation value.</param>
    /// <param name="b">Brightness value.</param>
    public HSB(double h, double s, double b)
    {
        hue = (h>360)? 360 : ((h<0)?0:h);
        saturation = (s>1)? 1 : ((s<0)?0:s);
        brightness = (b>1)? 1 : ((b<0)?0:b);
    }

    public override bool Equals(Object obj)
    {
        if(obj==null || GetType()!=obj.GetType()) return false;

        return (this == (HSB)obj);
    }

    public override int GetHashCode()
    {
        return Hue.GetHashCode() ^ Saturation.GetHashCode() ^
            Brightness.GetHashCode();
    }
}

C - HSL color space

The HSL color space, also called HLS or HSI, stands for:

  • Hue : the color type (such as red, blue, or yellow).
    • Ranges from 0 to 360° in most applications (each value corresponds to one color : 0 is red, 45 is a shade of orange and 55 is a shade of yellow).
  • Saturation : variation of the color depending on the lightness.
    • Ranges from 0 to 100% (from the center of the black&white axis).
  • Lightness (also Luminance or Luminosity or Intensity).
    • Ranges from 0 to 100% (from black to white).

Its common graphic representation is the following image:

HSL is similar to HSB. The main difference is that HSL is symmetrical to lightness and darkness. This means that:

  • In HSL, the Saturation component always goes from fully saturated color to the equivalent gray (in HSB, with B at maximum, it goes from saturated color to white).
  • In HSL, the Lightness always spans the entire range from black through the chosen hue to white (in HSB, the B component only goes half that way, from black to the chosen hue).

For my part, HSL offers a more accurate (even if it's not absolute) color approximation than HSB.

All this said, a HSL structure can be:

/// <summary>
/// Structure to define HSL.
/// </summary>
public struct HSL
{
    /// <summary>
    /// Gets an empty HSL structure;
    /// </summary>
    public static readonly HSL Empty = new HSL();

    private double hue;
    private double saturation;
    private double luminance;

    public static bool operator ==(HSL item1, HSL item2)
    {
        return (
            item1.Hue == item2.Hue
            && item1.Saturation == item2.Saturation
            && item1.Luminance == item2.Luminance
            );
    }

    public static bool operator !=(HSL item1, HSL item2)
    {
        return (
            item1.Hue != item2.Hue
            || item1.Saturation != item2.Saturation
            || item1.Luminance != item2.Luminance
            );
    }

    /// <summary>
    /// Gets or sets the hue component.
    /// </summary>
    public double Hue
    {
        get
        {
            return hue;
        }
        set
        {
            hue = (value>360)? 360 : ((value<0)?0:value);
        }
    }

    /// <summary>
    /// Gets or sets saturation component.
    /// </summary>
    public double Saturation
    {
        get
        {
            return saturation;
        }
        set
        {
            saturation = (value>1)? 1 : ((value<0)?0:value);
        }
    }

    /// <summary>
    /// Gets or sets the luminance component.
    /// </summary>
    public double Luminance
    {
        get
        {
            return luminance;
        }
        set
        {
            luminance = (value>1)? 1 : ((value<0)? 0 : value);
        }
    }

    /// <summary>
    /// Creates an instance of a HSL structure.
    /// </summary>
    /// <param name="h">Hue value.</param>
    /// <param name="s">Saturation value.</param>
    /// <param name="l">Lightness value.</param>
    public HSL(double h, double s, double l)
    {
        this.hue = (h>360)? 360 : ((h<0)?0:h);
        this.saturation = (s>1)? 1 : ((s<0)?0:s);
        this.luminance = (l>1)? 1 : ((l<0)?0:l);
    }

    public override bool Equals(Object obj)
    {
        if(obj==null || GetType()!=obj.GetType()) return false;

        return (this == (HSL)obj);
    }

    public override int GetHashCode()
    {
        return Hue.GetHashCode() ^ Saturation.GetHashCode() ^
            Luminance.GetHashCode();
    }
}

D - CMYK color space

The CMYK color space, also known as CMJN, stands for:

  • Cyan.
    • Ranges from 0 to 100% in most applications.
  • Magenta.
    • Ranges from 0 to 100% in most applications.
  • Yellow.
    • Ranges from 0 to 100% in most applications.
  • blacK.
    • Ranges from 0 to 100% in most applications.

It is a subtractive color model used in color printing. CMYK works on an optical illusion that is based on light absorption.
The principle is to superimpose three images; one for cyan, one for magenta and one for yellow; which will reproduce colors.

Its common graphic representation is the following image:

Like the RGB color model, CMYK is a combination of primary colors (cyan, magenta, yellow and black). It is, probably, the only thing they have in common.
CMYK suffers from a lack of color shades that causes holes in the color spectrum it can reproduce. That's why there are often differencies when someone convert a color between CMYK to RGB.

Why using this model? Why black is used? you can tell me... Well it's only for practical purpose. Wikipedia said:

  • To improve print quality and reduce moiré patterns,
  • Text is typically printed in black and includes fine detail (such as serifs); so to reproduce text using three inks would require an extremely precise alignment for each three components image.
  • A combination of cyan, magenta, and yellow pigments don't produce (or rarely) pure black.
  • Mixing all three color inks together to make black can make the paper rather wet when not using dry toner, which is an issue in high speed printing where the paper must dry extremely rapidly to avoid marking the next sheet, and poor quality paper such as newsprint may break if it becomes too wet.
  • Using a unit amount of black ink rather than three unit amounts of the process color inks can lead to significant cost savings (black ink is often cheaper).

Let's come back to our reality. A CMYK structure can be:

/// <summary>
/// Structure to define CMYK.
/// </summary>
public struct CMYK
{
    /// <summary>
    /// Gets an empty CMYK structure;
    /// </summary>
    public readonly static CMYK Empty = new CMYK();

    private double c;
    private double m;
    private double y;
    private double k;

    public static bool operator ==(CMYK item1, CMYK item2)
    {
        return (
            item1.Cyan == item2.Cyan
            && item1.Magenta == item2.Magenta
            && item1.Yellow == item2.Yellow
            && item1.Black == item2.Black
            );
    }

    public static bool operator !=(CMYK item1, CMYK item2)
    {
        return (
            item1.Cyan != item2.Cyan
            || item1.Magenta != item2.Magenta
            || item1.Yellow != item2.Yellow
            || item1.Black != item2.Black
            );
    }

    public double Cyan
    {
        get
        {
            return c;
        }
        set
        {
            c = value;
            c = (c>1)? 1 : ((c<0)? 0 : c);
        }
    }

    public double Magenta
    {
        get
        {
            return m;
        }
        set
        {
            m = value;
            m = (m>1)? 1 : ((m<0)? 0 : m);
        }
    }

    public double Yellow
    {
        get
        {
            return y;
        }
        set
        {
            y = value;
            y = (y>1)? 1 : ((y<0)? 0 : y);
        }
    }

    public double Black
    {
        get
        {
            return k;
        }
        set
        {
            k = value;
            k = (k>1)? 1 : ((k<0)? 0 : k);
        }
    }

    /// <summary>
    /// Creates an instance of a CMYK structure.
    /// </summary>
    public CMYK(double c, double m, double y, double k)
    {
        this.c = c;
        this.m = m;
        this.y = y;
        this.k = k;
    }

    public override bool Equals(Object obj)
    {
        if(obj==null || GetType()!=obj.GetType()) return false;

        return (this == (CMYK)obj);
    }

    public override int GetHashCode()
    {
        return Cyan.GetHashCode() ^
          Magenta.GetHashCode() ^ Yellow.GetHashCode() ^ Black.GetHashCode();
    }

}

E - YUV color space

The YUV model defines a color space in terms of one luma and two chrominance components. The YUV color model is used in the PAL, NTSC, and SECAM composite color video standards.
YUV models human perception of color more closely than the standard RGB model used in computer graphics hardware.

The YUV color space stands for:

  • Y, the luma component, or the brightness.
    • Ranges from 0 to 100% in most applications.
  • U and V are the chrominance components (blue-luminance and red-luminance differences components).
    • Expressed as factors depending on the YUV version you want to use.

A graphic representation is the following image:

YUV structure can be:

/// <summary>
/// Structure to define YUV.
/// </summary>
public struct YUV
{
    /// <summary>
    /// Gets an empty YUV structure.
    /// </summary>
    public static readonly YUV Empty = new YUV();

    private double y;
    private double u;
    private double v;

    public static bool operator ==(YUV item1, YUV item2)
    {
        return (
            item1.Y == item2.Y
            && item1.U == item2.U
            && item1.V == item2.V
            );
    }

    public static bool operator !=(YUV item1, YUV item2)
    {
        return (
            item1.Y != item2.Y
            || item1.U != item2.U
            || item1.V != item2.V
            );
    }

    public double Y
    {
        get
        {
            return y;
        }
        set
        {
            y = value;
            y = (y>1)? 1 : ((y<0)? 0 : y);
        }
    }

    public double U
    {
        get
        {
            return u;
        }
        set
        {
            u = value;
            u = (u>0.436)? 0.436 : ((u<-0.436)? -0.436 : u);
        }
    }

    public double V
    {
        get
        {
            return v;
        }
        set
        {
            v = value;
            v = (v>0.615)? 0.615 : ((v<-0.615)? -0.615 : v);
        }
    }

    /// <summary>
    /// Creates an instance of a YUV structure.
    /// </summary>
    public YUV(double y, double u, double v)
    {
        this.y = (y>1)? 1 : ((y<0)? 0 : y);
        this.u = (u>0.436)? 0.436 : ((u<-0.436)? -0.436 : u);
        this.v = (v>0.615)? 0.615 : ((v<-0.615)? -0.615 : v);
    }

    public override bool Equals(Object obj)
    {
        if(obj==null || GetType()!=obj.GetType()) return false;

        return (this == (YUV)obj);
    }

    public override int GetHashCode()
    {
        return Y.GetHashCode() ^ U.GetHashCode() ^ V.GetHashCode();
    }

}

F - CIE XYZ color space

In opposition to the previous models, the CIE XYZ model defines an absolute color space. It is also known as theCIE 1931 XYZ color space and stands for:

  • X, which can be compared to red
    • Ranges from 0 to 0.9505
  • Y, which can be compared to green
    • Ranges from 0 to 1.0
  • Z, which can be compared to blue
    • Ranges from 0 to 1.089

Before trying to explain why I include this color space in this article, you have to know that it's one of the first standards created by the International Commission on Illumination (CIE) in 1931. It is based on direct measurements of the human eye, and serves as the basis from which many other color spaces are defined.

A graphic representation is the following image:

CIE XYZ structure can be:

/// <summary>
/// Structure to define CIE XYZ.
/// </summary>
public struct CIEXYZ
{
    /// <summary>
    /// Gets an empty CIEXYZ structure.
    /// </summary>
    public static readonly CIEXYZ Empty = new CIEXYZ();
    /// <summary>
    /// Gets the CIE D65 (white) structure.
    /// </summary>
    public static readonly CIEXYZ D65 = new CIEXYZ(0.9505, 1.0, 1.0890);


    private double x;
    private double y;
    private double z;

    public static bool operator ==(CIEXYZ item1, CIEXYZ item2)
    {
        return (
            item1.X == item2.X
            && item1.Y == item2.Y
            && item1.Z == item2.Z
            );
    }

    public static bool operator !=(CIEXYZ item1, CIEXYZ item2)
    {
        return (
            item1.X != item2.X
            || item1.Y != item2.Y
            || item1.Z != item2.Z
            );
    }

    /// <summary>
    /// Gets or sets X component.
    /// </summary>
    public double X
    {
        get
        {
            return this.x;
        }
        set
        {
            this.x = (value>0.9505)? 0.9505 : ((value<0)? 0 : value);
        }
    }

    /// <summary>
    /// Gets or sets Y component.
    /// </summary>
    public double Y
    {
        get
        {
            return this.y;
        }
        set
        {
            this.y = (value>1.0)? 1.0 : ((value<0)?0 : value);
        }
    }

    /// <summary>
    /// Gets or sets Z component.
    /// </summary>
    public double Z
    {
        get
        {
            return this.z;
        }
        set
        {
            this.z = (value>1.089)? 1.089 : ((value<0)? 0 : value);
        }
    }

    public CIEXYZ(double x, double y, double z)
    {
        this.x = (x>0.9505)? 0.9505 : ((x<0)? 0 : x);
        this.y = (y>1.0)? 1.0 : ((y<0)? 0 : y);
        this.z = (z>1.089)? 1.089 : ((z<0)? 0 : z);
    }

    public override bool Equals(Object obj)
    {
        if(obj==null || GetType()!=obj.GetType()) return false;

        return (this == (CIEXYZ)obj);
    }

    public override int GetHashCode()
    {
        return X.GetHashCode() ^ Y.GetHashCode() ^ Z.GetHashCode();
    }

}

Well! why do I have to include this model?

I have made a quick research to include Cie L*a*b* color model in this article, and I find that a conversion to an absolute color space is required before converting to L*a*b*. The model used in the conversion principle is Cie XYZ. So, I've included it and now everyone can understand "what are those XYZ values" used further in the article.

G - CIE L*a*b* color space

"A Lab color space is a color-opponent space with dimension L for luminance and a and b for the color-opponent dimensions, based on nonlinearly-compressed CIE XYZ color space coordinates."

As said in the previous definition, CIE L*a*b* color space, also know as CIE 1976 color space, stands for:

  • L*, the luminance
  • a*, the red/green color-opponent dimension
  • b*, the yellow/blue color-opponent dimension

The L*a*b* color model has been created to serve as a device independent model to be used as a reference. It is based directly on the CIE 1931 XYZ color space as an attempt to linearize the perceptibility of color differences.

The non-linear relations for L*, a*, and b* are intended to mimic the logarithmic response of the eye, coloring information is referred to the color of the white point of the system.

CIE L*a*b* structure can be:

/// <summary>
/// Structure to define CIE L*a*b*.
/// </summary>
public struct CIELab
{
    /// <summary>
    /// Gets an empty CIELab structure.
    /// </summary>
    public static readonly CIELab Empty = new CIELab();

    private double l;
    private double a;
    private double b;


    public static bool operator ==(CIELab item1, CIELab item2)
    {
        return (
            item1.L == item2.L
            && item1.A == item2.A
            && item1.B == item2.B
            );
    }

    public static bool operator !=(CIELab item1, CIELab item2)
    {
        return (
            item1.L != item2.L
            || item1.A != item2.A
            || item1.B != item2.B
            );
    }


    /// <summary>
    /// Gets or sets L component.
    /// </summary>
    public double L
    {
        get
        {
            return this.l;
        }
        set
        {
            this.l = value;
        }
    }

    /// <summary>
    /// Gets or sets a component.
    /// </summary>
    public double A
    {
        get
        {
            return this.a;
        }
        set
        {
            this.a = value;
        }
    }

    /// <summary>
    /// Gets or sets a component.
    /// </summary>
    public double B
    {
        get
        {
            return this.b;
        }
        set
        {
            this.b = value;
        }
    }

    public CIELab(double l, double a, double b)
    {
        this.l = l;
        this.a = a;
        this.b = b;
    }

    public override bool Equals(Object obj)
    {
        if(obj==null || GetType()!=obj.GetType()) return false;

        return (this == (CIELab)obj);
    }

    public override int GetHashCode()
    {
        return L.GetHashCode() ^ a.GetHashCode() ^ b.GetHashCode();
    }

}

There are still many other formats like RYB and CcMmYK. I still don't intend to create a "color framework", but if you have other ideas...

II - Conversion between models

A - RGB conversions

Converting RGB color to any other model is the basis in conversion algorithms. It implies a normalisation of red, green and blue : value ranges now from [0..255] to [0..1].

a - RGB to HSB

The conversion principle is the one below:

H ? [0, 360]

S, V, R, G, B ? [0, 1]

V = MAX

Well! Interesting! But what's the C# equivalent? Here it is.

/// <summary>
/// Converts RGB to HSB.
/// </summary>
public static HSB RGBtoHSB(int red, int green, int blue)
{
    // normalize red, green and blue values
    double r = ((double)red/255.0);
    double g = ((double)green/255.0);
    double b = ((double)blue/255.0);

    // conversion start
    double max = Math.Max(r, Math.Max(g, b));
    double min = Math.Min(r, Math.Min(g, b));

    double h = 0.0;
    if(max==r && g>=b)
    {
        h = 60 * (g-b)/(max-min);
    }
    else if(max==r && g < b)
    {
        h = 60 * (g-b)/(max-min) + 360;
    }
    else if(max == g)
    {
        h = 60 * (b-r)/(max-min) + 120;
    }
    else if(max == b)
    {
        h = 60 * (r-g)/(max-min) + 240;
    }

    double s = (max == 0)? 0.0 : (1.0 - (min/max));

    return new HSB(h, s, (double)max);
}

b - RGB to HSL

The conversion principle is the one below:

H ? [0, 360]

S, L, R, G, B ? [0, 1]

L = ½(MAX + MIN)

The C# equivalent is:

/// <summary>
/// Converts RGB to HSL.
/// </summary>
/// <param name="red">Red value, must be in [0,255].</param>
/// <param name="green">Green value, must be in [0,255].</param>
/// <param name="blue">Blue value, must be in [0,255].</param>
public static HSL RGBtoHSL(int red, int green, int blue)
{
    double h=0, s=0, l=0;

    // normalize red, green, blue values
    double r = (double)red/255.0;
    double g = (double)green/255.0;
    double b = (double)blue/255.0;

    double max = Math.Max(r, Math.Max(g, b));
    double min = Math.Min(r, Math.Min(g, b));

    // hue
    if(max == min)
    {
        h = 0; // undefined
    }
    else if(max==r && g>=b)
    {
        h = 60.0*(g-b)/(max-min);
    }
    else if(max==r && g<b)
    {
        h = 60.0*(g-b)/(max-min) + 360.0;
    }
    else if(max==g)
    {
        h = 60.0*(b-r)/(max-min) + 120.0;
    }
    else if(max==b)
    {
        h = 60.0*(r-g)/(max-min) + 240.0;
    }

    // luminance
    l = (max+min)/2.0;

    // saturation
    if(l == 0 || max == min)
    {
        s = 0;
    }
    else if(0<l && l<=0.5)
    {
        s = (max-min)/(max+min);
    }
    else if(l>0.5)
    {
        s = (max-min)/(2 - (max+min)); //(max-min > 0)?
    }

    return new HSL(
        Double.Parse(String.Format("{0:0.##}", h)),
        Double.Parse(String.Format("{0:0.##}", s)),
        Double.Parse(String.Format("{0:0.##}", l))
        );
}

Note: You have probably noticed String.Format("{0:0.##}", h)... It's the .NET solution for keeping the same rounding behavior. If you don't understand what I mean, try the sample code below:

Console.WriteLine(Math.Round(4.45, 1)); // returns 4.4.
Console.WriteLine(Math.Round(4.55, 1)); // returns 4.6.

You didn't notice a problem? Ok, rouding 4.45 should have returned 4.5 and not 4.4. The solution is usingString.Format() which always applies "round-to-even" method.

c - RGB to CMYK

The conversion principle is the one below :

R, G, B ? [0, 1]

tC'M'Y' = {1 - R, 1 - G, 1 - B}

K = min{C', M', Y'}

tCMYK = {0, 0, 0, 1} if K = 1

tCMYK = { (C' - K)/(1 - K), (M' - K)/(1 - K), (Y' - K)/(1 - K), K } otherwise

The C# equivalent is:

/// <summary>
/// Converts RGB to CMYK.
/// </summary>
/// <param name="red">Red vaue must be in [0, 255]. </param>
/// <param name="green">Green vaue must be in [0, 255].</param>
/// <param name="blue">Blue vaue must be in [0, 255].</param>
public static CMYK RGBtoCMYK(int red, int green, int blue)
{
    // normalizes red, green, blue values
    double c = (double)(255 - red)/255;
    double m = (double)(255 - green)/255;
    double y = (double)(255 - blue)/255;

    double k = (double)Math.Min(c, Math.Min(m, y));

    if(k == 1.0)
    {
        return new CMYK(0,0,0,1);
    }
    else
    {
        return new CMYK((c-k)/(1-k), (m-k)/(1-k), (y-k)/(1-k), k);
    }
}

d - RGB to YUV (YUV444)

The conversion principle is the one below :

R, G, B, Y ? [0, 1]

U ? [-0.436, 0.436]

V ? [-0.615, 0.615]

tYUV = { (0.299 R + 0.587 G + 0.114 B), (- 0.14713 R + 0.28886 G + 0.436 B), (0.615 R + 0.51499 G + 0.10001 B) }

The C# equivalent is :

/// <summary>
/// Converts RGB to YUV.
/// </summary>
/// <param name="red">Red must be in [0, 255].</param>
/// <param name="green">Green must be in [0, 255].</param>
/// <param name="blue">Blue must be in [0, 255].</param>
public static YUV RGBtoYUV(int red, int green, int blue)
{
    YUV yuv = new YUV();

    // normalizes red, green, blue values
    double r = (double)red/255.0;
    double g = (double)green/255.0;
    double b = (double)blue/255.0;

    yuv.Y = 0.299*r + 0.587*g + 0.114*b;
    yuv.U = -0.14713*r -0.28886*g + 0.436*b;
    yuv.V = 0.615*r -0.51499*g -0.10001*b;

    return yuv;
}

e - RGB to web color

Haaa! Something I can explain.

As you probably already know, web colors can be defined in two ways: for example, "red" can be defined asrgb(255,0,0) or #FF0000.

The explanation of the second form is simple :

  • "#" character tells that the format is the hexadecimal one.
  • The last 6 characters define 3 pairs: one for "Red", one for "Green" and one for "Blue".
  • Each pair is a hexadecimal value (base 16) of a value which ranges from 0 to 255.

So, you can divide each color component by 16 and replace numbers superior to 9 by theirs hexadecimal value (eg. 10 = A, 11 = B, etc.)... but the best way is to use String.Format() habilities.

/// <summary>
/// Converts a RGB color format to an hexadecimal color.
/// </summary>
/// <param name="r">Red value.</param>
/// <param name="g">Green value.</param>
/// <param name="b">Blue value.</param>
public static string RGBToHex(int r, int g, int b)
{
    return String.Format("#{0:x2}{1:x2}{2:x2}", r, g, b).ToUpper();
}

f - RGB to XYZ

The conversion principle is the one below:

R, G, B ? [0, 1]

a = 0.055 and ? ˜ 2.2

where

The C# equivalent is :

/// <summary>
/// Converts RGB to CIE XYZ (CIE 1931 color space)
/// </summary>
public static CIEXYZ RGBtoXYZ(int red, int green, int blue)
{
    // normalize red, green, blue values
    double rLinear = (double)red/255.0;
    double gLinear = (double)green/255.0;
    double bLinear = (double)blue/255.0;

    // convert to a sRGB form
    double r = (rLinear > 0.04045)? Math.Pow((rLinear + 0.055)/(
        1 + 0.055), 2.2) : (rLinear/12.92) ;
    double g = (gLinear > 0.04045)? Math.Pow((gLinear + 0.055)/(
        1 + 0.055), 2.2) : (gLinear/12.92) ;
    double b = (bLinear > 0.04045)? Math.Pow((bLinear + 0.055)/(
        1 + 0.055), 2.2) : (bLinear/12.92) ;

    // converts
    return new CIEXYZ(
        (r*0.4124 + g*0.3576 + b*0.1805),
        (r*0.2126 + g*0.7152 + b*0.0722),
        (r*0.0193 + g*0.1192 + b*0.9505)
        );
}

g - RGB to L*a*b*

As I said before, converting to the CIE L*a*b color model is a little bit tricky: we need to convert to CIE XYZ before trying to have L*a*b* values.

/// <summary>
/// Converts RGB to CIELab.
/// </summary>
public static CIELab RGBtoLab(int red, int green, int blue)
{
    return XYZtoLab( RGBtoXYZ(red, green, blue) );
}

The conversion between XYZ and L*a*b* is given below.

B - HSB conversions

a - HSB to RGB

The conversion principle is the one below :

H ? [0, 360]

S, V, R, G, B ? [0, 1]

Hi = [H / 60] mod 6

f = (H / 60) - Hi

p = V (1 - S)

q = V (1 - f S)

t = V (1 - (1 - f ) S)

if Hi = 0 ? R = VG = tB = p
if Hi = 1 ? R = qG = VB = p
if Hi = 2 ? R = pG = VB = t
if Hi = 3 ? R = pG = qB = V
if Hi = 4 ? R = tG = pB = V
if Hi = 5 ? R = VG = pB = q

The C# equivalent? Here it is.

/// <summary>
/// Converts HSB to RGB.
/// </summary>
public static RGB HSBtoRGB(double h, double s, double b)
{
    double r = 0;
    double g = 0;
    double b = 0;

    if(s == 0)
    {
        r = g = b = b;
    }
    else
    {
        // the color wheel consists of 6 sectors. Figure out which sector
        // you're in.
        double sectorPos = h / 60.0;
        int sectorNumber = (int)(Math.Floor(sectorPos));
        // get the fractional part of the sector
        double fractionalSector = sectorPos - sectorNumber;

        // calculate values for the three axes of the color.
        double p = b * (1.0 - s);
        double q = b * (1.0 - (s * fractionalSector));
        double t = b * (1.0 - (s * (1 - fractionalSector)));

        // assign the fractional colors to r, g, and b based on the sector
        // the angle is in.
        switch(sectorNumber)
        {
            case 0:
                r = b;
                g = t;
                b = p;
                break;
            case 1:
                r = q;
                g = b;
                b = p;
                break;
            case 2:
                r = p;
                g = b;
                b = t;
                break;
            case 3:
                r = p;
                g = q;
                b = b;
                break;
            case 4:
                r = t;
                g = p;
                b = b;
                break;
            case 5:
                r = b;
                g = p;
                b = q;
                break;
        }
    }

    return new RGB(
        Convert.ToInt32( Double.Parse(String.Format("{0:0.00}", r*255.0)) ),
        Convert.ToInt32( Double.Parse(String.Format("{0:0.00}", g*255.0)) ),
        Convert.ToInt32( Double.Parse(String.Format("{0:0.00}", b*255.0)) )
    );
}

b - HSB to HSL

Conversion principle is quite simple (but not accurate): convert to RGB and then to HSL.

/// <summary>
/// Converts HSB to HSL.
/// </summary>
public static HSL HSBtoHSL(double h, double s, double b)
{
    RGB rgb = HSBtoRGB(h, s, b);

    return RGBtoHSL(rgb.Red, rgb.Green, rgb.Blue);
}

c - HSB to CMYK

Nothing new : conversion principle is to convert to RGB and then to CMYK.

/// <summary>
/// Converts HSB to CMYK.
/// </summary>
public static CMYK HSBtoCMYK(double h, double s, double b)
{
    RGB rgb = HSBtoRGB(h, s, b);

    return RGBtoCMYK(rgb.Red, rgb.Green, rgb.Blue);
}

d - HSB to YUV

Nothing new : conversion principle is to convert to RGB and then to YUV.

/// <summary>
/// Converts HSB to CMYK.
/// </summary>
public static YUV HSBtoYUV(double h, double s, double b)
{
    RGB rgb = HSBtoRGB(h, s, b);

    return RGBtoYUV(rgb.Red, rgb.Green, rgb.Blue);
}

C - HSL conversions

a - HSL to RGB

The conversion principle is the one below :

H ? [0, 360]

S, L, R, G, B ? [0, 1]

if L < 0.5 ? Q = L × (1 + S)
if L = 0.5 ? Q = L + S – (L × S)

P = 2 × L – Q

Hk = H / 360

Tr = Hk + 1/3

Tg = Hk

Tb = Hk – 1/3

For each c = R,G,B :

if Tc < 0 ? Tc = Tc + 1.0
if Tc > 1 ? Tc = Tc – 1.0

if Tc < 1/6 ? Tc = P + ((Q – P) × 6.0 × Tc)
if 1/6 = Tc > 1/2 ? Tc = Q
if 1/2 = Tc > 2/3 ? Tc = P + ((Q – P) × (2/3 – Tc) × 6.0)
else Tc = P

The C# equivalent? Here it is.

/// <summary>
/// Converts HSL to RGB.
/// </summary>
/// <param name="h">Hue, must be in [0, 360].</param>
/// <param name="s">Saturation, must be in [0, 1].</param>
/// <param name="l">Luminance, must be in [0, 1].</param>
public static RGB HSLtoRGB(double h, double s, double l)
{
    if(s == 0)
    {
        // achromatic color (gray scale)
        return new RGB(
            Convert.ToInt32( Double.Parse(String.Format("{0:0.00}",
                l*255.0)) ),
            Convert.ToInt32( Double.Parse(String.Format("{0:0.00}",
                l*255.0)) ),
            Convert.ToInt32( Double.Parse(String.Format("{0:0.00}",
                l*255.0)) )
            );
    }
    else
    {
        double q = (l<0.5)?(l * (1.0+s)):(l+s - (l*s));
        double p = (2.0 * l) - q;

        double Hk = h/360.0;
        double[] T = new double[3];
        T[0] = Hk + (1.0/3.0);    // Tr
        T[1] = Hk;                // Tb
        T[2] = Hk - (1.0/3.0);    // Tg

        for(int i=0; i<3; i++)
        {
            if(T[i] < 0) T[i] += 1.0;
            if(T[i] > 1) T[i] -= 1.0;

            if((T[i]*6) < 1)
            {
                T[i] = p + ((q-p)*6.0*T[i]);
            }
            else if((T[i]*2.0) < 1) //(1.0/6.0)<=T[i] && T[i]<0.5
            {
                T[i] = q;
            }
            else if((T[i]*3.0) < 2) // 0.5<=T[i] && T[i]<(2.0/3.0)
            {
                T[i] = p + (q-p) * ((2.0/3.0) - T[i]) * 6.0;
            }
            else T[i] = p;
        }

        return new RGB(
            Convert.ToInt32( Double.Parse(String.Format("{0:0.00}",
                T[0]*255.0)) ),
            Convert.ToInt32( Double.Parse(String.Format("{0:0.00}",
                T[1]*255.0)) ),
            Convert.ToInt32( Double.Parse(String.Format("{0:0.00}",
                T[2]*255.0)) )
            );
    }
}

b - HSL to HSB

Nothing new: conversion principle is to convert to RGB and then to HSB.

/// <summary>
/// Converts HSL to HSB.
/// </summary>
public static HSB HSLtoHSB(double h, double s, double l)
{
    RGB rgb = HSLtoRGB(h, s, l);

    return RGBtoHSB(rgb.Red, rgb.Green, rgb.Blue);
}

c - HSL to CMYK

Nothing new: conversion principle is to convert to RGB and then to CMYK.

/// <summary>
/// Converts HSL to CMYK.
/// </summary>
public static CMYK HSLtoCMYK(double h, double s, double l)
{
    RGB rgb = HSLtoRGB(h, s, l);

    return RGBtoCMYK(rgb.Red, rgb.Green, rgb.Blue);
}

d - HSL to YUV

Nothing new: conversion principle is to convert to RGB and then to CMYK.

/// <summary>
/// Converts HSL to YUV.
/// </summary>
public static YUV HSLtoYUV(double h, double s, double l)
{
    RGB rgb = HSLtoRGB(h, s, l);

    return RGBtoYUV(rgb.Red, rgb.Green, rgb.Blue);
}

D - CMYK conversions

a - CMYK to RGB

The conversion principle is the one below:

tRGB = { (1 - C) × (1 - K) , (1 - M) × (1 - K), (1 - Y) × (1 - K)}

The C# equivalent? Here it is.

/// <summary>
/// Converts CMYK to RGB.
/// </summary>
public static Color CMYKtoRGB(double c, double m, double y, double k)
{
    int red = Convert.ToInt32((1-c) * (1-k) * 255.0);
    int green = Convert.ToInt32((1-m) * (1-k) * 255.0);
    int blue = Convert.ToInt32((1-y) * (1-k) * 255.0);

    return Color.FromArgb(red, green, blue);
}

b - CMYK to HSL

Nothing new: conversion principle is to convert to RGB and then to HSL.

/// <summary>
/// Converts CMYK to HSL.
/// </summary>
public static HSL CMYKtoHSL(double c, double m, double y, double k)
{
    RGB rgb = CMYKtoRGB(c, m, y, k);

    return RGBtoHSL(rgb.Red, rgb.Green, rgb.Blue);
}

c - CMYK to HSB

Nothing new: conversion principle is to convert to RGB and then to HSB.

/// <summary>
/// Converts CMYK to HSB.
/// </summary>
public static HSB CMYKtoHSB(double c, double m, double y, double k)
{
    RGB rgb = CMYKtoRGB(c, m, y, k);

    return RGBtoHSB(rgb.Red, rgb.Green, rgb.Blue);
}

d - CMYK to YUV

Nothing new: conversion principle is to convert to RGB and then to YUV.

/// <summary>
/// Converts CMYK to YUV.
/// </summary>
public static YUV CMYKtoYUV(double c, double m, double y, double k)
{
    RGB rgb = CMYKtoRGB(c, m, y, k);

    return RGBtoYUV(rgb.Red, rgb.Green, rgb.Blue);
}

E - YUV conversions

a - YUV to RGB

The conversion principle is the one below:

R, G, B, Y ? [0, 1]

U ? [-0.436, 0.436]

V ? [-0.615, 0.615]

tRGB = { (Y + 1.13983 V), (Y - 0.39466 U - 0.58060 V), (Y + 2.03211 U) }

The C# equivalent is :

/// <summary>
/// Converts YUV to RGB.
/// </summary>
/// <param name="y">Y must be in [0, 1].</param>
/// <param name="u">U must be in [-0.436, +0.436].</param>
/// <param name="v">V must be in [-0.615, +0.615].</param>
public static RGB YUVtoRGB(double y, double u, double v)
{
    RGB rgb = new RGB();

    rgb.Red = Convert.ToInt32((y + 1.139837398373983740*v)*255);
    rgb.Green = Convert.ToInt32((
        y - 0.3946517043589703515*u - 0.5805986066674976801*v)*255);
    rgb.Blue = Convert.ToInt32((y + 2.032110091743119266*u)*255);

    return rgb;
}

b - YUV to HSL

Nothing new: conversion principle is to convert to RGB and then to HSL.

/// <summary>
/// Converts YUV to HSL.
/// </summary>
/// <param name="y">Y must be in [0, 1].</param>
/// <param name="u">U must be in [-0.436, +0.436].</param>
/// <param name="v">V must be in [-0.615, +0.615].</param>
public static HSL YUVtoHSL(double y, double u, double v)
{
    RGB rgb = YUVtoRGB(y, u, v);

    return RGBtoHSL(rgb.Red, rgb.Green, rgb.Blue);
}

c - YUV to HSB

Nothing new: conversion principle is to convert to RGB and then to HSB.

/// <summary>
/// Converts YUV to HSB.
/// </summary>
/// <param name="y">Y must be in [0, 1].</param>
/// <param name="u">U must be in [-0.436, +0.436].</param>
/// <param name="v">V must be in [-0.615, +0.615].</param>
public static HSB YUVtoHSB(double y, double u, double v)
{
    RGB rgb = YUVtoRGB(y, u, v);

    return RGBtoHSB(rgb.Red, rgb.Green, rgb.Blue);
}

d - YUV to CMYK

Nothing new: conversion principle is to convert to RGB and then to CMYK.

/// <summary>
/// Converts YUV to CMYK.
/// </summary>
/// <param name="y">Y must be in [0, 1].</param>
/// <param name="u">U must be in [-0.436, +0.436].</param>
/// <param name="v">V must be in [-0.615, +0.615].</param>
public static CMYK YUVtoCMYK(double y, double u, double v)
{
    RGB rgb = YUVtoRGB(y, u, v);

    return RGBtoCMYK(rgb.Red, rgb.Green, rgb.Blue);
}

F - XYZ conversions

a - XYZ to RGB

The conversion principle is the one below:

a = 0.055


then

The C# equivalent is :

/// <summary>
/// Converts CIEXYZ to RGB structure.
/// </summary>
public static RGB XYZtoRGB(double x, double y, double z)
{
    double[] Clinear = new double[3];
    Clinear[0] = x*3.2410 - y*1.5374 - z*0.4986; // red
    Clinear[1] = -x*0.9692 + y*1.8760 - z*0.0416; // green
    Clinear[2] = x*0.0556 - y*0.2040 + z*1.0570; // blue

    for(int i=0; i<3; i++)
    {
        Clinear[i] = (Clinear[i]<=0.0031308)? 12.92*Clinear[i] : (
            1+0.055)* Math.Pow(Clinear[i], (1.0/2.4)) - 0.055;
    }

    return new RGB(
        Convert.ToInt32( Double.Parse(String.Format("{0:0.00}",
            Clinear[0]*255.0)) ),
        Convert.ToInt32( Double.Parse(String.Format("{0:0.00}",
            Clinear[1]*255.0)) ),
        Convert.ToInt32( Double.Parse(String.Format("{0:0.00}",
            Clinear[2]*255.0)) )
        );
}

b - XYZ to L*a*b*

The conversion principle is the one below:




where
 for  t > 0.008856
 otherwise

Xn, Yn and Zn are the CIE XYZ tristimulus values of the reference white point.

The C# equivalent is:

/// <summary>
/// XYZ to L*a*b* transformation function.
/// </summary>
private static double Fxyz(double t)
{
    return ((t > 0.008856)? Math.Pow(t, (1.0/3.0)) : (7.787*t + 16.0/116.0));
}

/// <summary>
/// Converts CIEXYZ to CIELab.
/// </summary>
public static CIELab XYZtoLab(double x, double y, double z)
{
    CIELab lab = CIELab.Empty;

    lab.L = 116.0 * Fxyz( y/CIEXYZ.D65.Y ) -16;
    lab.A = 500.0 * (Fxyz( x/CIEXYZ.D65.X ) - Fxyz( y/CIEXYZ.D65.Y) );
    lab.B = 200.0 * (Fxyz( y/CIEXYZ.D65.Y ) - Fxyz( z/CIEXYZ.D65.Z) );

    return lab;
}

G - L*a*b* conversions

a - L*a*b* to XYZ

The conversion principle is the one below:

d = 6/29





if   then   else   
if   then   else   
if   then   else 

The C# equivalent is:

/// <summary>
/// Converts CIELab to CIEXYZ.
/// </summary>
public static CIEXYZ LabtoXYZ(double l, double a, double b)
{
    double delta = 6.0/29.0;

    double fy = (l+16)/116.0;
    double fx = fy + (a/500.0);
    double fz = fy - (b/200.0);

    return new CIEXYZ(
        (fx > delta)? CIEXYZ.D65.X * (fx*fx*fx) : (fx - 16.0/116.0)*3*(
            delta*delta)*CIEXYZ.D65.X,
        (fy > delta)? CIEXYZ.D65.Y * (fy*fy*fy) : (fy - 16.0/116.0)*3*(
            delta*delta)*CIEXYZ.D65.Y,
        (fz > delta)? CIEXYZ.D65.Z * (fz*fz*fz) : (fz - 16.0/116.0)*3*(
            delta*delta)*CIEXYZ.D65.Z
        );
}

b - L*a*b* to RGB

Nothing really new, the principle is to convert to XYZ and then to RGB :

/// <summary>
/// Converts CIELab to RGB.
/// </summary>
public static RGB LabtoRGB(double l, double a, double b)
{
    return XYZtoRGB( LabtoXYZ(l, a, b) );
}

Using the code

Well, after showing you the conversion algorithms, maybe there is nothing more I can tell you.

In fact, there are many other useful methods in ColorSpaceHelper. You will find:

  • Average color implementation (ColorSpaceHelper.GetColorDistance()).
  • Wheel color generation (ColorSpaceHelper.GetWheelColors()) with 32bit support (alpha).
  • Light spectrum color generation for (ColorSpaceHelper.GetSpectrumColors()) with 32bit support (alpha).
  • Conversion to and from web colors (ColorSpaceHelper.HexToColor()).
  • Conversion to and from System.Drawing.Color and the other structures.

Points of Interest

Like I said before, there are many formats. This article gives you an example of how using common color models (RGBHSLHSB, etc.) perhaps will help you in your own projects.

Here is a preview of what we can do (and what we will see in the next article) with ColorSpaceHelper:

History

  • 08 June 2007
    • Added GraGra_33 VB .NET version.
  • 07 June 2007
    • Added CIE XYZ color space definition, and conversion methods in ColorSpaceHelper.
    • Added CIE L*a*b* color space definition, and conversion methods in ColorSpaceHelper.
  • 03 June 2007 - Initial article.

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

Guillaume Leparmentier
 
Engineer
 
France France
IT consultant and Project Manager in Paris, specialized in software engineering/design. 

He spends most of his time in meetings  Smile | :) 
He would love to have more time to develop all those ide
在本章中,我们将深入探讨基于块匹配的全景图像拼接技术,这是一种广泛应用于计算机视觉和图像处理领域的技术。在深度学习和机器学习的背景下,这种方法的实现与整合显得尤为重要,因为它们能够提升图像处理的效率和精度。下面,我们将会详细阐述相关知识点。 我们要了解什么是全景图像拼接。全景图像拼接是一种将多张有限视角的图像合并成一个宽视角或全方位视角图像的技术,常用于虚拟现实、地图制作、监控系统等领域。通过拼接,我们可以获得更广阔的视野,捕捉到单个图像无法覆盖的细节。 块匹配是全景图像拼接中的核心步骤,其目的是寻找两张图片中对应区域的最佳匹配。它通常包括以下几个关键过程: 1. **图像预处理**:图像的预处理包括灰度化、直方图均衡化、降噪等操作,以提高图像质量,使匹配更加准确。 2. **特征提取**:在每张图像上选择特定区域(块)并计算其特征,如灰度共生矩阵、SIFT(尺度不变特征变换)、SURF(加速稳健特征)等,这些特征应具备旋转、缩放和光照不变性。 3. **块匹配**:对于每一张图像的每个块,计算与另一张图像所有块之间的相似度,如欧氏距离、归一化互信息等。找到最相似的块作为匹配对。 4. **几何变换估计**:根据匹配对确定对应的几何关系,例如仿射变换、透视变换等,以描述两张图像之间的相对位置。 5. **图像融合**:利用估计的几何变换,对图像进行融合,消除重叠区域的不一致性和缝隙,生成全景图像。 在MATLAB环境中实现这一过程,可以利用其强大的图像处理工具箱,包括图像读取、处理、特征检测和匹配、几何变换等功能。此外,MATLAB还支持编程和脚本,方便算法的调试和优化。 深度学习和机器学习在此处的角色主要是改进匹配过程和图像融合。例如,通过训练神经网络模型,可以学习到更具鲁棒性的特征表示,增强匹配的准确性。同时,深度学习方法也可以用于像素级别的图像融合,减少拼接的失真和不连续性。 在实际应用中,我们需要注意一些挑战,比如光照变化、遮挡、动态物体等,这些因素可能会影响匹配效果。因此,往往需要结合其他辅助技术,如多视图几何、稀疏重建等,来提高拼接的稳定性和质量。 基于块匹配的全景图像拼接是通过匹配和融合多张图像来创建全景视图的过程。在MATLAB中实现这一技术,可以结合深度学习和机器学习的先进方法,提升匹配精度和图像融合质量。通过对压缩包中的代码和数据进行学习,你可以更深入地理解这一技术,并应用于实际项目中。
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