源码地址
https://gitee.com/niusongcun/matlab-gui.git
function varargout = gui(varargin)
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @gui_OpeningFcn, ...
'gui_OutputFcn', @gui_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
function gui_OpeningFcn(hObject, eventdata, handles, varargin)
handles.output = hObject;
guidata(hObject, handles);
function varargout = gui_OutputFcn(hObject, eventdata, handles)
varargout{1} = handles.output;
% --------------------------------------------------------------------
%文件
function open_Callback(hObject, eventdata, handles)%打开图片
global im %定义一个全局变量im
global im2
[filename,pathname]=...
uigetfile({'*.*';'*.bmp';'*.tif';'*.png'},'select picture'); %选择图片路径
str=[pathname filename]; %合成路径+文件名
im=imread(str); %读取图片
im2=im;
axes(handles.axes1); %使用第一个axes
imshow(im); %显示图片
function save_Callback(hObject, eventdata, handles)%保存图片
global BW
set(handles.axes2,'HandleVisibility','ON');
axes(handles.axes2);
[filename,pathname]=uiputfile({'*.jpg';'*.bmp';'*.tif';'*.*'},'save image as');
file=strcat(pathname,filename);
BW=getimage(gca);
imwrite(BW,file);
set(handles.axes2,'HandleVisibility','Off');
function quit_Callback(hObject, ~, handles)%退出操作
close(gcf) %关闭当前Figure窗口句柄
% --------------------------------------------------------------------
%开启摄像头
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
global V;
winvideoinfo = imaqhwinfo('winvideo');
V = videoinput('winvideo', 1);
V_Res = get(V, 'VideoResolution');
V_Bands = get(V, 'NumberOfBands');
axes(handles.axes1);
%h = image(zeros(V_Res(2), V_Res(1), V_Bands));
h = imshow(zeros(V_Res(2), V_Res(1), V_Bands));
preview(V, h);
%捕获图片
function pushbutton2_Callback(hObject, eventdata, handles)
global V;
global im;
im = getsnapshot(V) ;
axes(handles.axes1);
imshow(im);
% --------------------------------------------------------------------
%菜单栏的调回函数,实际不使用
function t1_Callback(hObject, eventdata, handles)
function t2_Callback(hObject, eventdata, handles)
function t3_Callback(hObject, eventdata, handles)
function t4_Callback(hObject, eventdata, handles)
function t5_Callback(hObject, eventdata, handles)
function t6_Callback(hObject, eventdata, handles)
function t7_Callback(hObject, eventdata, handles)
function t8_Callback(hObject, eventdata, handles)
function t9_Callback(hObject, eventdata, handles)
% --------------------------------------------------------------------
% 图像类型变换
function rgb2gray_Callback(hObject, eventdata, handles)%原图-灰度
global im
global BW %定义全局变量
axes(handles.axes2);
BW=rgb2gray(im);
im=BW;
imshow(BW);
function im2bw_Callback(hObject, eventdata, handles)%原图-二值
global im
global BW %定义全局变量
axes(handles.axes2);
BW=im2bw(im);
im=BW;
imshow(BW);
function dither_Callback(hObject, eventdata, handles)%灰度-二值
global im
global BW %定义全局变量
axes(handles.axes2);
BW=dither(im);
im=BW;
imshow(BW);
% --------------------------------------------------------------------
% 边缘检测
function roberts_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2); %使用第二个axes
BW=edge(im,'roberts',0.04);
imshow(BW);
function sobel_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2); %使用第二个axes
BW=edge(im,'sobel',0.04);
imshow(BW);
function prewitt_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2); %使用第二个axes
BW=edge(im,'prewitt',0.04);
imshow(BW);
function log_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2); %使用第二个axes
BW=edge(im,'log',0.003);
imshow(BW);
% --------------------------------------------------------------------
%图像变换
function DFT_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2);
I1=double(im);
I2=fft2(I1);
I3=fftshift(I2);
I3=log(abs(I3));
BW=I3;
imshow(BW,[]);
function DCT_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2);
I1=double(im);
I2=dct2(I1);
I3=log(abs(I2));
BW=I3;
imshow(BW);
% --------------------------------------------------------------------
% 图像旋转
function rotate_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
% A=getimage(handles.axes1);
A=im;
axes(handles.axes2);
prompt={'度数:'};
def={'90'};
answer=inputdlg(prompt,'请输入:',1,def);
if ~isempty(answer)
a = str2num(answer{1});
J=imrotate(A,360-a);
BW=J;
imshow(BW);
end
function Initial_Callback(hObject, eventdata, handles)%初始化
global im
global im2
global BW %定义全局变量
BW=im2;
im=im2;
axes(handles.axes2);
imshow(BW);
% --------------------------------------------------------------------
% 图像噪声添加
function gaussian_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
%获取输入框中的值
gui_handles = guihandles(gcf);
gsize = get(gui_handles.gaus_edit1,'String');
gsigma = get(gui_handles.gaus_edit2,'String');
I=im2double(im);
f = fspecial('gaussian',str2num(gsize),str2num(gsigma));
J = imfilter(im,f);
BW=J;
axes(handles.axes2);
imshow(BW);
function salt_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
%获取输入框中的值
gui_handles = guihandles(gcf);
density = get(gui_handles.jiaoyan_edit,'String');
I=im2double(im);
J=imnoise(I,'salt & pepper',str2num(density));
BW=J;
axes(handles.axes2);
imshow(BW);
function speckle_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
%获取输入框中的值
gui_handles = guihandles(gcf);
sigma = get(gui_handles.spe_edit,'String');
I=im2double(im);
J=imnoise(I,'speckle',str2num(sigma));
BW=J;
axes(handles.axes2);
imshow(BW);
function poisson_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
I=im2double(im);
J=imnoise(I,'poisson');
BW=J;
axes(handles.axes2);
imshow(BW);
% --------------------------------------------------------------------
% 图像滤波
function medilt_Callback(hObject, eventdata, handles)%中值滤波
global BW %定义全局变量
J=medfilt2(BW, [3,3]);
BW=J;
axes(handles.axes2);
imshow(BW);
function wiener_Callback(hObject, eventdata, handles)%自适应滤波
global BW %定义全局变量
J=wiener2(BW,[3,3]);
BW=J;
axes(handles.axes2);
imshow(BW);
function filter2_Callback(hObject, eventdata, handles)%均值滤波
global BW %定义全局变量
M1=ones(3);
M1=M1/9;
J=filter2(M1,BW);
BW=J;
axes(handles.axes2);
imshow(BW);
% --------------------------------------------------------------------
%图像灰度变化
function plotchange_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2); %使用第二个axes
A=im2double(im);
a=0.3;%0.3 0.7 0.5 0.9
b=0.7;
c=0.1;
d=0.9;
%0.3 0.7 0.1 0.9
B=A;
[m,n]=size(B);
Mg=max(max(B));
Mf=max(max(A));
for (i=1:m)
for (j=1:n)
if(A(i,j)>=0&&A(i,j)<=a)
B(i,j)=(c/a)*A(i,j);
end
if(A(i,j)>=a&&A(i,j)<=b)
B(i,j)=(((d-c)/(b-a))*(A(i,j)-a))+c;
end
if(A(i,j)>=b&&A(i,j)<=1)
B(i,j)=(((Mg-d)/(Mf-b))*(A(i,j)-b))+d;
end
end
end
BW=B;
imshow(BW);
function imhist_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2); %使用第二个axes
BW=im;
imhist(BW);
function histeq_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2); %使用第二个axes
BW=histeq(im);
imhist(BW);
% --------------------------------------------------------------------
function histeqafter_Callback(hObject, eventdata, handles)
global im
global BW %定义全局变量
axes(handles.axes2); %使用第二个axes
imshow(BW);
% --------------------------------------------------------------------
%以下为文本与参数
% --------------------------------------------------------------------
%高斯滤波参数
function gaus_edit1_Callback(hObject, eventdata, handles)
% hObject handle to gaus_edit1 (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 gaus_edit1 as text
% str2double(get(hObject,'String')) returns contents of gaus_edit1 as a double
% --- Executes during object creation, after setting all properties.
function gaus_edit1_CreateFcn(hObject, eventdata, handles)
% hObject handle to gaus_edit1 (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 gaus_edit2_Callback(hObject, eventdata, handles)
% hObject handle to gaus_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 gaus_edit2 as text
% str2double(get(hObject,'String')) returns contents of gaus_edit2 as a double
% --- Executes during object creation, after setting all properties.
function gaus_edit2_CreateFcn(hObject, eventdata, handles)
% hObject handle to gaus_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
% --------------------------------------------------------------------
%椒盐噪声参数
function jiaoyan_edit_Callback(hObject, eventdata, handles)
% hObject handle to jiaoyan_edit (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 jiaoyan_edit as text
% str2double(get(hObject,'String')) returns contents of jiaoyan_edit as a double
% --- Executes during object creation, after setting all properties.
function jiaoyan_edit_CreateFcn(hObject, eventdata, handles)
% hObject handle to jiaoyan_edit (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 spe_edit_Callback(hObject, eventdata, handles)
% hObject handle to spe_edit (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 spe_edit as text
% str2double(get(hObject,'String')) returns contents of spe_edit as a double
% --- Executes during object creation, after setting all properties.
function spe_edit_CreateFcn(hObject, eventdata, handles)
% hObject handle to spe_edit (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