MATLAB课程设计--GUI图像处理

实现程序段如下：

function uipanel4_SelectionChangeFcn(hObject, eventdata, handles) % hObject handle to uipanel4 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global T

str=get(hObject,'string'); axes(handles.axes2); switch str

case '椒盐噪声' T=getimage;

prompt={'数日椒盐噪声参数1:'}; defans={'0.02'};

p=inputdlg(prompt,'input',1,defans); p1=str2num(p{1});

f=imnoise(handles.img,'salt & pepper',p1); imshow(f); handles.img=f;

guidata(hObject,handles); case '?高斯噪声' T=getimage;

prompt={'输入高斯噪声1:','输入高斯噪声2'}; defans={'0','0.02'};

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p=inputdlg(prompt,'input',1,defans); p1=str2num(p{1}); p2=str2num(p{2});

f=imnoise(handles.img,'gaussian',p1,p2); imshow(f); handles.img=f;

guidata(hObject,handles); case '乘性噪声' T=getimage;

prompt={'输入乘性噪声1:'}; defans={'0.02'};

p=inputdlg(prompt,'input',1,defans); p1=str2num(p{1});

f=imnoise(handles.img,'speckle',p1); imshow(f); handles.img=f;

guidata(hObject,handles); end

（2）滤除噪声（椒盐噪声）。 滤波前

中值滤波后

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线性滤波后

自适应滤波后

实现程序段如下：

function uipanel5_SelectionChangeFcn(hObject, eventdata, handles) %图像滤波

% hObject handle to uipanel5 (see GCBO)

% eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global T

str=get(hObject,'string'); axes(handles.axes2);

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switch str

case '中值滤波' T=getimage;

k=medfilt2(handles.img); imshow(k); handles.img=k;

guidata(hObject,handles); case '线性滤波' T=getimage;

h=[1 1 1;1 1 1;1 1 1]; H=h/9;

i=double(handles.img); k=convn(i,h); imshow(k,[]); handles.img=k;

guidata(hObject,handles); case '自适应滤波' T=getimage;

k=wiener2(handles.img,[5,5]); imshow(k); handles.img=k;

guidata(hObject,handles); end

低通滤波器滤波后

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