Matlab去除二值图像小对象 bwareaopen

From: https://ww2.mathworks.cn/help/images/ref/bwareaopen.html

bwareaopen

Remove small objects from binary image

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Syntax

BW2 = bwareaopen(BW,P)

BW2 = bwareaopen(BW,P,conn)

Description

example

BW2 = bwareaopen(BW,P) removes all connected components (objects) that have fewer than P pixels from the binary image BW, producing another binary image, BW2. This operation is known as an area opening.

BW2 = bwareaopen(BW,P,conn) removes all connected components, where conn specifies the desired connectivity.

Examples

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Remove Objects in Image Containing Fewer Than 50 Pixels

Try This Example

Read binary image.

BW = imread('text.png');

Remove objects containing fewer than 50 pixels using bwareaopen function.

BW2 = bwareaopen(BW, 50);

Display original image next to morphologically opened image.

imshowpair(BW,BW2,'montage')

Input Arguments

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BW — Binary image
real, nonsparse, logical or numeric array of any dimension

Binary image, specified as a nonsparse, logical or numeric array of any dimension.

Example: BW2 = bwareaopen(BW, 50);

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical

P — Maximum number of pixels in objects
nonnegative, integer-valued, numeric scalar

Maximum number of pixels in objects, specified as a nonnegative, integer-valued, numeric scalar.

Example: BW2 = bwareaopen(BW, 50);

Data Types: double

conn — Pixel connectivity
4 | 8 | 6 | 18 | 26 | 3-by-3-by- ... -by-3 matrix of 0s and 1s

Pixel connectivity, specified as one of the values in this table. The default connectivity is 8 for 2-D images, and 26 for 3-D images.

Value	Meaning
Two-Dimensional Connectivities
4-connected	Pixels are connected if their edges touch. Two adjoining pixels are part of the same object if they are both on and are connected along the horizontal or vertical direction.
8-connected	Pixels are connected if their edges or corners touch. Two adjoining pixels are part of the same object if they are both on and are connected along the horizontal, vertical, or diagonal direction.
Three-Dimensional Connectivities
6-connected	Pixels are connected if their faces touch. Two adjoining pixels are part of the same object if they are both on and are connected in: One of these directions: in, out, left, right, up, and down
18-connected	Pixels are connected if their faces or edges touch. Two adjoining pixels are part of the same object if they are both on and are connected in One of these directions: in, out, left, right, up, and down A combination of two directions, such as right-down or in-up
26-connected	Pixels are connected if their faces, edges, or corners touch. Two adjoining pixels are part of the same object if they are both on and are connected in One of these directions: in, out, left, right, up, and down A combination of two directions, such as right-down or in-up A combination of three directions, such as in-right-up or in-left-down

For higher dimensions, bwareaopen uses the default value conndef(ndims(BW),'maximal').

Connectivity can also be defined in a more general way for any dimension by specifying a 3-by-3-by- ... -by-3 matrix of 0s and 1s. The 1-valued elements define neighborhood locations relative to the center element of conn. Note that conn must be symmetric about its center element. See Specifying Custom Connectivities for more information.

Data Types: double | logical

Output Arguments

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BW2 — Image that has been morphologically opened
nonsparse, logical array of any dimension

Image that has been morphologically opened, specified as a nonsparse, logical array the same size as BW.

Algorithms

The basic steps are

1. Determine the connected components:

   CC = bwconncomp(BW, conn);

2. Compute the area of each component:

   S = regionprops(CC, 'Area');

3. Remove small objects:

   L = labelmatrix(CC);
   BW2 = ismember(L, find([S.Area] >= P));