如何使用Matlab灰度分层变换伪彩图像处理系统GUI

如何使用Matlab灰度分层变换伪彩图像处理系统GUI

这款MATLAB灰度分层变换伪彩图像处理系统GUI软件是一款简单易用的图像处理工具，专为灰度伪彩色图像处理设计。软件包含灰度分层和灰度变换功能，并提供滤波亮度调节模块。界面设计直观，包含多种按钮和参数设置，方便用户进行图像处理操作。
主要功能:
该软件支持灰度伪彩色图像处理，主要功能包括灰度分层和灰度变换方法。

推荐系统要求: MATLAB R2024a或以上版本 - 支持Windows、macOS操作系统。

以下是基于Matlab的灰度分层变换伪彩图像处理系统的GUI设计及代码实现。此系统旨在通过灰度分层变换技术，将灰度图像转换为伪彩色图像，并提供用户交互界面。

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功能概述

1. 图像加载：用户可以选择本地图片。
2. 灰度化：将彩色图像转换为灰度图像。
3. 灰度分层变换：根据灰度值范围分配不同的颜色。
4. 伪彩显示：生成并显示伪彩色图像。
5. 保存结果：允许用户保存处理后的伪彩色图像。

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GUI界面设计

使用Matlab的GUIDE工具创建图形用户界面，包含以下组件：

1. 按钮：
   • 加载图片
   • 开始处理
   • 保存结果
   • 退出程序
2. 图像显示区域：
   • 原始图片
   • 灰度图片
   • 伪彩色图片

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代码实现

1. GUI界面初始化

function varargout = PseudoColorGUI(varargin)
% PSEUDOCOLORGUI MATLAB code for PseudoColorGUI.fig
%      PSEUDOCOLORGUI, by itself, creates a new PSEUDOCOLORGUI or raises the existing
%      singleton*.
%
%      H = PSEUDOCOLORGUI returns the handle to a new PSEUDOCOLORGUI or the handle to
%      the existing singleton*.
%
%      PSEUDOCOLORGUI('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in PSEUDOCOLORGUI.M with the given input arguments.
%
%      PSEUDOCOLORGUI('Property','Value',...) creates a new PSEUDOCOLORGUI or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before PseudoColorGUI_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to PseudoColorGUI_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help PseudoColorGUI

% Last Modified by GUIDE v2.5 20-Mar-2025 14:25:36

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @PseudoColorGUI_OpeningFcn, ...
                   'gui_OutputFcn',  @PseudoColorGUI_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin && ischar(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end

if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT

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2. 回调函数

function PseudoColorGUI_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to PseudoColorGUI (see VARARGIN)

% Choose default command line output for PseudoColorGUI
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UI Initialization
set(handles.axes1, 'Visible', 'off'); % Original Image
set(handles.axes2, 'Visible', 'off'); % Grayscale Image
set(handles.axes3, 'Visible', 'off'); % Pseudo Color Image

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3. 图片加载功能

function loadImage_Callback(hObject, eventdata, handles)
% hObject    handle to loadImage (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

[filename, pathname] = uigetfile({'*.jpg;*.png;*.bmp', 'Image Files (*.jpg, *.png, *.bmp)'}, '选择图片');
if isequal(filename, 0)
    return;
end

fullpath = fullfile(pathname, filename);
img = imread(fullpath);

% Display original image
axes(handles.axes1);
imshow(img);
title('原始图片');
set(handles.axes1, 'Visible', 'on');

% Store image in handles
handles.img = img;
guidata(hObject, handles);

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4. 灰度分层变换与伪彩处理

function processImage_Callback(hObject, eventdata, handles)
% hObject    handle to processImage (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

if ~isfield(handles, 'img')
    errordlg('请先加载图片！', '错误');
    return;
end

img = handles.img;

% Convert to grayscale
grayImg = rgb2gray(img);

% Display grayscale image
axes(handles.axes2);
imshow(grayImg);
title('灰度图片');
set(handles.axes2, 'Visible', 'on');

% Gray level slicing (pseudo-color transformation)
pseudoColorImg = gray2pseudocolor(grayImg);

% Display pseudo-color image
axes(handles.axes3);
imshow(pseudoColorImg);
title('伪彩色图片');
set(handles.axes3, 'Visible', 'on');

% Store processed image in handles
handles.pseudoColorImg = pseudoColorImg;
guidata(hObject, handles);

灰度分层变换函数

function pseudoColorImg = gray2pseudocolor(grayImg)
% GRAY2PSEUDOCOLOR Convert grayscale image to pseudo-color image using gray level slicing.

% Define color map for pseudo-color transformation
colorMap = [
    0 0 1;  % Blue for low intensity
    0 1 0;  % Green for medium intensity
    1 0 0]; % Red for high intensity

% Normalize gray image to [0, 1]
grayImg = double(grayImg) / 255;

% Assign colors based on intensity ranges
pseudoColorImg = zeros([size(grayImg), 3]);
pseudoColorImg(repmat(grayImg < 0.33, [1, 1, 3])) = repmat(colorMap(1, :), [sum(grayImg(:) < 0.33), 1]);
pseudoColorImg(repmat(grayImg >= 0.33 & grayImg < 0.67, [1, 1, 3])) = repmat(colorMap(2, :), [sum(grayImg(:) >= 0.33 & grayImg(:) < 0.67), 1]);
pseudoColorImg(repmat(grayImg >= 0.67, [1, 1, 3])) = repmat(colorMap(3, :), [sum(grayImg(:) >= 0.67), 1]);

% Convert to uint8 for display
pseudoColorImg = uint8(pseudoColorImg * 255);
end

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5. 保存处理结果

function saveImage_Callback(hObject, eventdata, handles)
% hObject    handle to saveImage (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

if ~isfield(handles, 'pseudoColorImg')
    errordlg('请先处理图片！', '错误');
    return;
end

[filename, pathname] = uiputfile({'*.png', 'PNG Image (*.png)'; '*.jpg', 'JPEG Image (*.jpg)'}, '保存图片');
if isequal(filename, 0)
    return;
end

fullpath = fullfile(pathname, filename);
imwrite(handles.pseudoColorImg, fullpath);
msgbox('图片已保存！', '提示');

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6. 退出功能

function exitButton_Callback(hObject, eventdata, handles)
% hObject    handle to exitButton (见 GCBO)
% eventdata  保留 - 在未来版本的MATLAB中定义 (见 VARARGIN)
% handles    包含句柄和用户数据的结构体 (见 GUIDATA)

close(gcf);

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总结

上述代码实现了基于Matlab的灰度分层变换伪彩图像处理系统，包括GUI设计、灰度化、伪彩处理和保存功能。用户可以加载图片并获得伪彩色图像的处理结果。