实验三 ：图像变换（数字图像处理）

实验目的

1. 掌握matlab的可视化界面设计GUI
2. 掌握图像的集合变换

实验内容

1. 灰度图像的灰度线性映射，通过先行参数的调节（参数由文本框输入），实现图像质量调整，g（x，y）=a*f（x，y）+b

设计思路

1.加载灰度图像：首先需要将要处理的灰度图像加载到程序中

2.灰度转换：将彩色图像转换为灰度图像，以便后续进行灰度映射处理。

3.灰度线性映射：根据公式g(x,y)=a*f(x,y)+b，对灰度图像进行灰度线性映射处理。其中，a和b是由文本框输入的参数，f(x,y)表示原始灰度图像在(x,y)位置处的像素值，g(x,y)表示处理后的灰度图像在(x,y)位置处的像素值。

4.显示处理结果：将处理后的灰度图像显示出来

代码及注释

   function pushbutton1_Callback(hObject, eventdata, handles)

% hObject    handle to Open (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% 打开文件并读入

[filename,pathname]=uigetfile({'*.bmp;*.jpg;*.png;*.jpeg;*.tif'},'选择一个图片','F:\test');  %获取图片地址

str=[pathname filename];  %存储文件地址

if isequal(filename,0)||isequal(pathname,0)    %少部分即提示

    warndlg('Please select a picture first!','Warning');

    return;

else

    handles.OriginalPic= imread(str);      %读取原始图片

    axes(handles.axes1);      %在axes1中显示

    imshow(handles.OriginalPic);

end;

guidata(hObject,handles);

function pushbutton2_Callback(hObject, eventdata, handles)

% 获取 GUI 界面中对应的 edit 控件中的数值

% 获取 axes1 中的图像

img=handles.OriginalPic

a = str2double(get(handles.edit2, 'String'));

b = str2double(get(handles.edit3, 'String'));

outputImg = a * double(img) + b;

axes(handles.axes2);

imshow(uint8(outputImg));

% hObject    handle to pushbutton2 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

 

结果分析

在调整图像质量方面，可以通过调整斜率和截距来改变图像的亮度、对比度和明暗程度等特征。例如，如果想要增加图像的亮度，则需要适当增加斜率，同时减小截距；如果想要提高图像的对比度，则需要增加斜率，但不必改变截距。

1. 实现图像的直方图显示，直方图均衡化（按钮）

设计思路

1.加载图像：使用imread函数或者其他相关函数从文件中加载图像。

2.显示原始图像：使用imshow函数将读取的图像显示在GUI界面上，以便用户进行操作。

3.显示直方图：计算图像的灰度直方图，并使用histogram函数将其绘制出来。histogram函数可以实现对图像直方图的自动计算并以柱状图的形式显示在GUI界面中。

4.实现直方图均衡化：根据用户的操作，在按钮的点击事件中调用histeq函数实现直方图均衡化，并更新GUI界面中的图像和直方图显示。

5.添加按钮：在GUI界面上添加按钮，并绑定事件响应函数，实现用户交互。

代码及注释

function pushbutton3_Callback(hObject, eventdata, handles)

img=handles.OriginalPic;

[counts, bins] = imhist(rgb2gray(img));

% 在 axes4 中绘制直方图

plot(handles.axes3, bins, counts);

% hObject    handle to pushbutton3 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on button press in pushbutton4.

function pushbutton4_Callback(hObject, eventdata, handles)

img=handles.OriginalPic;

% 对图像进行直方图均衡化

img_eq = histeq(rgb2gray(img));

% 在 axes3 中显示均衡化后的图像

imshow(img_eq, 'Parent', handles.axes3);

% 计算均衡化后的图像的直方图

[counts_eq, bins_eq] = imhist(img_eq);

% 在 axes4 中绘制均衡化后的直方图

plot(handles.axes4, bins_eq, counts_eq);

  

结果分析

1.直方图显示：通过histogram函数生成灰度图像的直方图，可以清晰地看到不同灰度级出现的频率。可以通过直方图的形态来判断图像的亮度、对比度和色彩分布情况，为后续处理提供基础信息。

2.直方图均衡化：通过调用histeq函数实现直方图均衡化，可以增强图像的视觉效果。直方图均衡化会扩展图像的动态范围，并增加低灰度值像素的亮度，降低高灰度值像素的亮度，从而使图像整体更加明亮，具有更好的视觉效果。

3.读取两幅图像，实现基本代数运算

设计思路

1.在GUI中添加两个axes用于显示处理后的图像结果。

2.创建一个按钮或其他对象，用于触发加法和减法操作。

3.编写Matlab代码实现图像加法和减法。可以使用imread函数读取图像，imadd函数实现加法，imsubtract函数实现减法。

4.将处理后的结果显示在axes中。可以使用imshow函数将图像显示在axes中。

代码及注释

function pushbutton7_Callback(hObject, eventdata, handles)

res=imadd(handles.picture1,handles.picture2)

imshow(res, 'Parent', handles.axes10)

% hObject    handle to pushbutton7 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on button press in pushbutton8.

function pushbutton8_Callback(hObject, eventdata, handles)

res=imsubtract(handles.picture1,handles.picture2)

imshow(res, 'Parent', handles.axes11)

% hObject    handle to pushbutton8 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

结果分析

实现了读取两幅图像，并在Matlab中进行加法和减法的操作。

4.实现均值滤波和中值滤波（模板尺寸参数由文本框输入）

设计思路

均值滤波的实现思路如下：

1. 获取待处理图像和滤波模板尺寸。
2. 遍历待处理图像，对于每个像素，在滤波模板区域内取所有像素的平均值，将该平均值赋给当前像素。
3. 重复步骤2，直到遍历整张图像。

中值滤波的实现思路如下：

1. 获取待处理图像和滤波模板尺寸。
2. 遍历待处理图像，对于每个像素，在滤波模板区域内取所有像素的灰度值，排序后取中间值，将该中间值赋给当前像素。
3. 重复步骤2，直到遍历整张图像。

代码及注释

   function pushbutton5_Callback(hObject, eventdata, handles)

originalImage =handles.OriginalPic;

originalImage=rgb2gray(originalImage);

filterSize = str2double(get(handles.edit4, 'String'));

% 应用均值滤波

meanFiltered = imfilter(originalImage, fspecial('average', [filterSize filterSize]));

% 在 axes3 和 axes4 中显示滤波后的图像

axes(handles.axes5);

imshow(meanFiltered);

% hObject    handle to pushbutton5 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on button press in pushbutton6.

function pushbutton6_Callback(hObject, eventdata, handles)

originalImage =handles.OriginalPic;

originalImage=rgb2gray(originalImage);

% 从 edit box 中获取滤波器大小

filterSize = str2double(get(handles.edit4, 'String'));

% 应用中值滤波

medianFiltered = medfilt2(originalImage, [filterSize filterSize]);

axes(handles.axes6);

imshow(medianFiltered);

% hObject    handle to pushbutton6 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

结果分析

1.均值滤波结果分析：均值滤波可以有效地平滑图像，但是会造成图像的细节部分模糊化。随着滤波模板尺寸的增大，可以更好地平滑图像，但是也会使得图像变得更加模糊。因此，在选择滤波模板尺寸时，需要根据具体情况进行调整。

2.中值滤波结果分析：中值滤波可以有效地去除椒盐噪声等高斯噪声之外的噪声，同时保留图像的边缘信息。同样地，随着滤波模板尺寸的增大，可以更好地去除噪声，但是也会使得图像的细节部分失真。因此，在选择滤波模板尺寸时，也需要进行适当的调整。

问题及解决方案

1. 灰度图像的灰度线性映射，通过先行参数的调节（参数由文本框输入），实现图像质量调整，g（x，y）=a*f（x，y）+b

可能出现的问题：

• 输入的参数格式不正确或超出了合理范围，导致代码出错；
• 显示的结果不符合预期，可能是代码实现中存在逻辑错误。

解决方案：

• 在代码开发过程中，要对输入参数的格式、取值范围等进行严格控制和检查，可以使用Matlab自带的输入验证函数来实现；
• 调试代码时，可以逐步打印和检查中间结果，找到代码中的错误。

1. 实现图像的直方图显示，直方图均衡化（按钮）

可能出现的问题：

• 图像读取失败或读取到的图像格式不支持直方图操作；
• 直方图计算错误或直方图均衡化算法效果不符合预期。

解决方案：

• 在代码开发过程中，要确保读取到的图像格式正确并支持直方图操作；
• 调试代码时，可以逐步打印和检查中间结果，找到代码中的错误；同时，也需要仔细设计并测试算法的效果，确保输出结果符合用户的预期

1. 读取两幅图像，实现基本代数运算，实现均值滤波和中值滤波（模板尺寸参数由文本框输入）

可能出现的问题：

• 输入的参数格式不正确或超出了合理范围，导致代码出错；
• 图像读取失败或读取到的图像格式不支持所需的操作；
• 算法实现中存在逻辑错误，导致输出结果不符合预期。

解决方案：

• 在代码开发过程中，要对输入参数的格式、取值范围等进行严格控制和检查，可以使用Matlab自带的输入验证函数来实现；
• 调试代码时，可以逐步打印和检查中间结果，找到代码中的错误；同时，也需要仔细设计并测试算法的效果，确保输出结果符合用户的预期。

总结与心得

灰度线性映射是一种简单有效的图像增强方法，在实际应用中经常被使用。在代码实现时，需要注意对输入参数进行严格检查和控制，避免出现意外错误；同时，也需要仔细设计并测试算法的效果，确保输出结果符合用户的预期。直方图是一种常用的图像统计工具，能够有效地描述图像的分布情况。直方图均衡化算法能够增强图像的对比度，并使图像视觉效果更加饱满。在实际应用中，需要根据不同的场景和需求选择合适的算法，并对算法的实现进行充分的测试和调试。基本代数运算、均值滤波和中值滤波是图像处理中常用的操作，在实际应用中非常有用。在代码实现时，需要注意对输入参数进行严格检查和控制，避免出现意外错误；同时，也需要仔细设计并测试算法的效果，确保输出结果符合用户的预期。实现均值滤波和中值滤波是数字图像处理中的基本操作，掌握这两种滤波算法可以有效地去除图像噪声和平滑图像。在实现过程中，需要注意异常处理和边界问题，并且根据图像特点选择合适的模板尺寸以达到最佳效果。

附录

function varargout = text1(varargin)

% TEXT1 MATLAB code for text1.fig

%      TEXT1, by itself, creates a new TEXT1 or raises the existing

%      singleton*.

%

%      H = TEXT1 returns the handle to a new TEXT1 or the handle to

%      the existing singleton*.

%

%      TEXT1('CALLBACK',hObject,eventData,handles,...) calls the local

%      function named CALLBACK in TEXT1.M with the given input arguments.

%

%      TEXT1('Property','Value',...) creates a new TEXT1 or raises the

%      existing singleton*.  Starting from the left, property value pairs are

%      applied to the GUI before text1_OpeningFcn gets called.  An

%      unrecognized property name or invalid value makes property application

%      stop.  All inputs are passed to text1_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 text1

% Last Modified by GUIDE v2.5 27-May-2023 14:40:51

% Begin initialization code - DO NOT EDIT

gui_Singleton = 1;

gui_State = struct('gui_Name',       mfilename, ...

                   'gui_Singleton',  gui_Singleton, ...

                   'gui_OpeningFcn', @text1_OpeningFcn, ...

                   'gui_OutputFcn',  @text1_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

% --- Executes just before text1 is made visible.

function text1_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 text1 (see VARARGIN)

% Choose default command line output for text1

handles.output = hObject;

% Update handles structure

guidata(hObject, handles);

% UIWAIT makes text1 wait for user response (see UIRESUME)

% uiwait(handles.figure1);

% --- Outputs from this function are returned to the command line.

function varargout = text1_OutputFcn(hObject, eventdata, handles)

% varargout  cell array for returning output args (see VARARGOUT);

% hObject    handle to figure

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure

varargout{1} = handles.output;

function edit2_Callback(hObject, eventdata, handles)

% hObject    handle to edit2 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit2 as text

%        str2double(get(hObject,'String')) returns contents of edit2 as a double

% --- Executes during object creation, after setting all properties.

function edit2_CreateFcn(hObject, eventdata, handles)

% hObject    handle to edit2 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.

%       See ISPC and COMPUTER.

if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

    set(hObject,'BackgroundColor','white');

end

function edit3_Callback(hObject, eventdata, handles)

% hObject    handle to edit3 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit3 as text

%        str2double(get(hObject,'String')) returns contents of edit3 as a double

% --- Executes during object creation, after setting all properties.

function edit3_CreateFcn(hObject, eventdata, handles)

% hObject    handle to edit3 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.

%       See ISPC and COMPUTER.

if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

    set(hObject,'BackgroundColor','white');

end

% --- Executes on button press in pushbutton1.

function pushbutton1_Callback(hObject, eventdata, handles)

% hObject    handle to Open (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% 打开文件并读入

[filename,pathname]=uigetfile({'*.bmp;*.jpg;*.png;*.jpeg;*.tif'},'选择一个图片','F:\test');  %获取图片地址

str=[pathname filename];  %存储文件地址

if isequal(filename,0)||isequal(pathname,0)    %少部分即提示

    warndlg('Please select a picture first!','Warning');

    return;

else

    handles.OriginalPic= imread(str);      %读取原始图片

    axes(handles.axes1);      %在axes1中显示

    imshow(handles.OriginalPic);

end;

guidata(hObject,handles);

% hObject    handle to pushbutton1 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on slider movement.

function slider1_Callback(hObject, eventdata, handles)

% hObject    handle to slider1 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'Value') returns position of slider

%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider

% --- Executes during object creation, after setting all properties.

function slider1_CreateFcn(hObject, eventdata, handles)

% hObject    handle to slider1 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

% Hint: slider controls usually have a light gray background.

if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

    set(hObject,'BackgroundColor',[.9 .9 .9]);

end

% --- Executes on slider movement.

function slider2_Callback(hObject, eventdata, handles)

% hObject    handle to slider2 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'Value') returns position of slider

%        get(hObject,'Min') and get(hObject,'Max') to determine range of slider

% --- Executes during object creation, after setting all properties.

function slider2_CreateFcn(hObject, eventdata, handles)

% hObject    handle to slider2 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

% Hint: slider controls usually have a light gray background.

if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

    set(hObject,'BackgroundColor',[.9 .9 .9]);

end

% --- Executes on button press in pushbutton2.

function pushbutton2_Callback(hObject, eventdata, handles)

% 获取 GUI 界面中对应的 edit 控件中的数值

% 获取 axes1 中的图像

img=handles.OriginalPic

a = str2double(get(handles.edit2, 'String'));

b = str2double(get(handles.edit3, 'String'));

outputImg = a * double(img) + b;

axes(handles.axes2);

imshow(uint8(outputImg));

% hObject    handle to pushbutton2 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on button press in pushbutton3.

function pushbutton3_Callback(hObject, eventdata, handles)

img=handles.OriginalPic;

[counts, bins] = imhist(rgb2gray(img));

% 在 axes4 中绘制直方图

plot(handles.axes3, bins, counts);

% hObject    handle to pushbutton3 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on button press in pushbutton4.

function pushbutton4_Callback(hObject, eventdata, handles)

img=handles.OriginalPic;

% 对图像进行直方图均衡化

img_eq = histeq(rgb2gray(img));

% 在 axes3 中显示均衡化后的图像

imshow(img_eq, 'Parent', handles.axes3);

% 计算均衡化后的图像的直方图

[counts_eq, bins_eq] = imhist(img_eq);

% 在 axes4 中绘制均衡化后的直方图

plot(handles.axes4, bins_eq, counts_eq);

% --- Executes during object creation, after setting all properties.

function axes1_CreateFcn(hObject, eventdata, handles)

% hObject    handle to axes1 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

set( gca, 'xtick', [] ); %去掉x轴的刻度

set( gca, 'ytick', [] ); %去掉y轴的刻度

% Hint: place code in OpeningFcn to populate axes1

% --- Executes during object creation, after setting all properties.

function axes2_CreateFcn(hObject, eventdata, handles)

% hObject    handle to axes2 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

set( gca, 'xtick', [] ); %去掉x轴的刻度

set( gca, 'ytick', [] ); %去掉y轴的刻度

% Hint: place code in OpeningFcn to populate axes2

% --- Executes during object creation, after setting all properties.

function axes3_CreateFcn(hObject, eventdata, handles)

% hObject    handle to axes3 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

set( gca, 'xtick', [] ); %去掉x轴的刻度

set( gca, 'ytick', [] ); %去掉y轴的刻度

% Hint: place code in OpeningFcn to populate axes3

% --- Executes on button press in pushbutton5.

function pushbutton5_Callback(hObject, eventdata, handles)

originalImage =handles.OriginalPic;

originalImage=rgb2gray(originalImage);

filterSize = str2double(get(handles.edit4, 'String'));

% 应用均值滤波

meanFiltered = imfilter(originalImage, fspecial('average', [filterSize filterSize]));

% 在 axes3 和 axes4 中显示滤波后的图像

axes(handles.axes5);

imshow(meanFiltered);

% hObject    handle to pushbutton5 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on button press in pushbutton6.

function pushbutton6_Callback(hObject, eventdata, handles)

originalImage =handles.OriginalPic;

originalImage=rgb2gray(originalImage);

% 从 edit box 中获取滤波器大小

filterSize = str2double(get(handles.edit4, 'String'));

% 应用中值滤波

medianFiltered = medfilt2(originalImage, [filterSize filterSize]);

axes(handles.axes6);

imshow(medianFiltered);

% hObject    handle to pushbutton6 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

function edit4_Callback(hObject, eventdata, handles)

% hObject    handle to edit4 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% Hints: get(hObject,'String') returns contents of edit4 as text

%        str2double(get(hObject,'String')) returns contents of edit4 as a double

% --- Executes during object creation, after setting all properties.

function edit4_CreateFcn(hObject, eventdata, handles)

% hObject    handle to edit4 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.

%       See ISPC and COMPUTER.

if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))

    set(hObject,'BackgroundColor','white');

end

% --- Executes during object creation, after setting all properties.

function axes6_CreateFcn(hObject, eventdata, handles)

% hObject    handle to axes6 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

set( gca, 'xtick', [] ); %去掉x轴的刻度

set( gca, 'ytick', [] ); %去掉y轴的刻度

% Hint: place code in OpeningFcn to populate axes6

% --- Executes during object creation, after setting all properties.

function axes5_CreateFcn(hObject, eventdata, handles)

% hObject    handle to axes5 (see GCBO)

set( gca, 'xtick', [] ); %去掉x轴的刻度

set( gca, 'ytick', [] ); %去掉y轴的刻度

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

% Hint: place code in OpeningFcn to populate axes5

% --- Executes during object creation, after setting all properties.

function axes4_CreateFcn(hObject, eventdata, handles)

% hObject    handle to axes4 (see GCBO)

set( gca, 'xtick', [] ); %去掉x轴的刻度

set( gca, 'ytick', [] ); %去掉y轴的刻度

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    empty - handles not created until after all CreateFcns called

% Hint: place code in OpeningFcn to populate axes4

% --- Executes on button press in pushbutton7.

function pushbutton7_Callback(hObject, eventdata, handles)

res=imadd(handles.picture1,handles.picture2)

imshow(res, 'Parent', handles.axes10)

% hObject    handle to pushbutton7 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on button press in pushbutton8.

function pushbutton8_Callback(hObject, eventdata, handles)

res=imsubtract(handles.picture1,handles.picture2)

imshow(res, 'Parent', handles.axes11)

% hObject    handle to pushbutton8 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on button press in pushbutton9.

function pushbutton9_Callback(hObject, eventdata, handles)

[filename,pathname]=uigetfile({'*.bmp;*.jpg;*.png;*.jpeg;*.tif'},'选择一个图片','F:\test');  %获取图片地址

str=[pathname filename];  %存储文件地址

if isequal(filename,0)||isequal(pathname,0)    %少部分即提示

    warndlg('Please select a picture first!','Warning');

    return;

else

    handles.picture1= imread(str);      %读取原始图片

    axes(handles.axes8);      %在axes1中显示

    imshow(handles.picture1);

end;

guidata(hObject,handles);

% hObject    handle to pushbutton9 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

% --- Executes on button press in pushbutton10.

function pushbutton10_Callback(hObject, eventdata, handles)

[filename,pathname]=uigetfile({'*.bmp;*.jpg;*.png;*.jpeg;*.tif'},'选择一个图片','F:\test');  %获取图片地址

str=[pathname filename];  %存储文件地址

if isequal(filename,0)||isequal(pathname,0)    %少部分即提示

    warndlg('Please select a picture first!','Warning');

    return;

else

    handles.picture2= imread(str);      %读取原始图片

    axes(handles.axes9);      %在axes1中显示

    imshow(handles.picture2);

end;

guidata(hObject,handles);

% hObject    handle to pushbutton10 (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)