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video_processing.m
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function varargout = video_processing(varargin)
% VIDEO_PROCESSING MATLAB code for video_processing.fig
% VIDEO_PROCESSING, by itself, creates a new VIDEO_PROCESSING or raises the existing
% singleton*.
%
% H = VIDEO_PROCESSING returns the handle to a new VIDEO_PROCESSING or the handle to
% the existing singleton*.
%
% VIDEO_PROCESSING('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in VIDEO_PROCESSING.M with the given input arguments.
%
% VIDEO_PROCESSING('Property','Value',...) creates a new VIDEO_PROCESSING or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before video_processing_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to video_processing_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 video_processing
% Last Modified by GUIDE v2.5 09-Jul-2017 13:33:26
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @video_processing_OpeningFcn, ...
'gui_OutputFcn', @video_processing_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 video_processing is made visible.
function video_processing_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 video_processing (see VARARGIN)
global pause_self vid
global MSES
global compressRatioS
compressRatioS = [];
MSES = [];
pause_self = 1;
vid = -1;
ha=axes('units','normalized','position',[0 0 1 1]);
uistack(ha,'down')
II=imread('uestc2.jpg');
image(II)
colormap gray
axes(handles.axes8)
imshow('uestc.jpg');
axes(handles.axes9)
imshow('tongxin.jpg');
% set(ha,'handlevisibility','off','visible','off');
% Choose default command line output for video_processing
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes video_processing wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = video_processing_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;
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, 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)
global vid
vid = videoinput('winvideo',1,'YUY2_640x480');
set(vid,'ReturnedColorSpace','rgb');
vidRes = get(vid,'VideoResolution');
nBands = get(vid,'NumberOfBands');
hImage = image(zeros(vidRes(2),vidRes(1),nBands),'parent',handles.axes1);
preview(vid,hImage);
start(vid)
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% 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)
global vid
if vid ~= -1
delete(vid);
end;
axes(handles.axes2)
hold off
plot(1,1)
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% 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)
global vid
global mypic
mypic = getsnapshot(vid); %截取的彩色图像
axes(handles.axes1);
imshow(mypic);
% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global mypic
global I1
if numel(size(mypic))==2
I1 = mypic;
1
else
I1 = rgb2gray(mypic); %灰色图像
end
axes(handles.axes2);
imshow(I1);
axes(handles.axes3);
imhist(I1)
% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
% 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)
global I1
I2 = histeq(I1);
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
% --- Executes on button press in pushbutton6.
function pushbutton6_Callback(hObject, eventdata, handles)
% 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)
global mypic
[FileName,PathName] = uigetfile({'*.jpg;*.png;*.pgm;*.tif;*.bmp'},'Select figure File');
path = strcat(PathName,FileName);
mypic = imread(path);
axes(handles.axes1);
imshow(mypic);
% --- Executes on selection change in popupmenu1.
function popupmenu1_Callback(hObject, eventdata, handles)
% hObject handle to popupmenu1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = cellstr(get(hObject,'String')) returns popupmenu1 contents as cell array
% contents{get(hObject,'Value')} returns selected item from popupmenu1
% --- Executes during object creation, after setting all properties.
function popupmenu1_CreateFcn(hObject, eventdata, handles)
% hObject handle to popupmenu1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: popupmenu 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 get_function(~, eventdata, handles)
global select_function
select_function = get(handles.popumenu1, 'value');
% --- Executes on button press in pushbutton7.
function pushbutton7_Callback(hObject, eventdata, handles)
% 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)
%% 对灰度图像的操作
global select_function
global I1
global I2
select_function = get(handles.popupmenu1, 'value');
disp(select_function)
%% 均衡
if select_function == 2
I2 = histeq(I1);
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 'prewitt'边缘检测
if select_function == 3
i = 0.45
set(handles.pushbutton7,'UserData',1);
while(i>0 & get(handles.pushbutton7,'UserData') ==1)
I2=edge(I1,'prewitt',i);
%以自动阈值选择法地图像进行Roberts算子检测
% [I2,thresh1]=edge(I1,'roberts');
%返回当前Roberts算子边缘检测的阈值
axes(handles.axes5);
imshow(I2);
title(['K:',num2str(i)]);
axes(handles.axes4);
imhist(I2)
i = i - 0.003
pause(0.01)
drawnow
end
guidata(hObject, handles);
end
%% 动态边缘检测
if select_function == 4
i = 0.45
set(handles.pushbutton7,'UserData',1);
while(i>0 & get(handles.pushbutton7,'UserData') ==1)
I2=edge(I1,'canny',i);
%以自动阈值选择法地图像进行Roberts算子检测
% [I2,thresh1]=edge(I1,'roberts');
%返回当前Roberts算子边缘检测的阈值
axes(handles.axes5);
imshow(I2);
title(['K:',num2str(i)]);
axes(handles.axes4);
imhist(I2)
i = i - 0.003
pause(0.01)
drawnow
end
guidata(hObject, handles);
end
%% 特定区域锐化滤波
if select_function == 5
axes(handles.axes2)
% BW = roipoly(I1);
H = fspecial('motion',20,45);
I2 = imfilter(I1,H,'replicate');
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 模糊处理
if select_function == 6
H = fspecial('disk',10);
I2 = imfilter(I1,H,'replicate');
axes(handles.axes5);
imshow(I2);
xlabel('模糊图像');
axes(handles.axes4);
imhist(I2)
end
%% 黑白二值化
if select_function == 7
level=graythresh(I1); % 设置黑白转换阈值
I2=im2bw(I1,level); % 将图像转换为黑白图像
% 根据上面直方图选择阈值150,划分图像的前景和背景
axes(handles.axes5);
imshow(I2);
xlabel('黑白二值化图像');
axes(handles.axes4);
imhist(I2)
end
%% 膨胀图像
if select_function == 8
se = strel('ball',5,5); %创建椭圆Strel对象
I2=imdilate(I1,se); %膨胀图像
axes(handles.axes5);
imshow(I2);
xlabel('膨胀图像');
axes(handles.axes4);
imhist(I2)
end
%% 腐蚀图像
if select_function == 9
se = strel('ball',5,5); %创建椭圆Strel对象
I2=imerode(I1,se); %膨胀图像
axes(handles.axes5);
imshow(I2);
xlabel('腐蚀图像');
axes(handles.axes4);
imhist(I2)
end
%% 特定区域锐化滤波
if select_function == 10
axes(handles.axes2)
BW = roipoly(I1);
h = fspecial('motion');
I2 = roifilt2(h,I1,BW);
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 改变亮度
if select_function == 11
im = 0.1
set(handles.pushbutton7,'UserData',1);
while(im < 10 & get(handles.pushbutton7,'UserData') ==1)
I2 = immultiply(I1, im);
axes(handles.axes5);
imshow(I2);
xlabel('改变亮度');
title(['缩放系数',num2str(im)]);
axes(handles.axes4);
imhist(I2);
pause(0.01)
im = im+0.02;
drawnow
end
guidata(hObject, handles);
end
%% 动态调整图片亮度
if select_function == 12
I2_tem=-double(I1)+255; %B=-1*A+255，图像求补，注意把A的类型转换为double
axes(handles.axes5);
I2 = uint8(I2_tem);
imshow(I2);
% xlabel('改变亮度');
title('图像求补'); %再把double类型转换为unit8
axes(handles.axes4);
imhist(I2)
end
%% 动态加入椒盐噪音
if select_function == 13
set(handles.pushbutton7,'UserData',1);
im = 0.01
while(im < 0.8 & get(handles.pushbutton7,'UserData') ==1)
I2 = imnoise(I1,'salt & pepper',im);
axes(handles.axes5);
imshow(I2);
title(['加上盐椒噪声后的图像',num2str(im)]);
axes(handles.axes4);
imhist(I2)
im = im + 0.01;
pause(0.1);
drawnow;
end
guidata(hObject, handles);
end
%% 改变对比度
if select_function == 14
I2 = imadjust(I1,stretchlim(I1),[0 1]);
axes(handles.axes5);
imshow(I2);
title('改变对比度');
axes(handles.axes4);
imhist(I2)
end
%% 转换为索引色
if select_function == 15
I2 = grayslice(I1, 16);
axes(handles.axes5);
imshow(I2,jet(16));
title('RGB转索引色');
axes(handles.axes4);
imhist(I2);
end
%% 特定区域高斯滤波
if select_function == 16
axes(handles.axes2)
BW = roipoly(I1);
h = fspecial('gaussian');
I2 = roifilt2(h,I1,BW);
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 特定区域平均滤波
if select_function == 17
axes(handles.axes2)
BW = roipoly(I1);
h = fspecial('average');
I2 = roifilt2(h,I1,BW);
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 特定区域边缘提取
if select_function == 18
axes(handles.axes2)
BW = roipoly(I1);
h = fspecial('sobel');
I2 = roifilt2(h,I1,BW);
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 特定区域马赛克
if select_function == 19
axes(handles.axes2)
BW = roipoly(I1);
h = fspecial('disk',30);
I2 = roifilt2(h,I1,BW);
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 尺寸缩小
if select_function == 20
axes(handles.axes2)
I2 = imresize(I1,0.9*size(I1));
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 尺寸缩小
if select_function == 21
axes(handles.axes2)
I2 = imresize(I1,0.8*size(I1));
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 尺寸缩小
if select_function == 22
axes(handles.axes2)
I2 = imresize(I1,0.7*size(I1));
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 尺寸缩小
if select_function == 23
axes(handles.axes2)
I2 = imresize(I1,1.1*size(I1));
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 尺寸缩小
if select_function == 24
axes(handles.axes2)
I2 = imresize(I1,1.2*size(I1));
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
% --- Executes on button press in pushbutton8.
function pushbutton8_Callback(hObject, eventdata, handles)
% 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)
global I1
global I2
I1 = I2;
axes(handles.axes2);
imshow(I1);
axes(handles.axes3);
imhist(I1)
% --- Executes on button press in pushbutton9.
function pushbutton9_Callback(hObject, eventdata, 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)
global I1
[f,p]=uiputfile({'*.jpg'},'保存文件');
str=strcat(p,f);
pix=getframe(handles.axes2);
imwrite(pix.cdata,str,'jpg')
% --- Executes on button press in pushbutton10.
function pushbutton10_Callback(hObject, eventdata, 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)
% uiresume(handles.aexs4)
set(handles.pushbutton7,'UserData',0);
guidata(hObject, handles);
% --- Executes on button press in pushbutton11.
function pushbutton11_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton11 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global mypic
[f,p]=uiputfile({'*.jpg'},'保存文件');
str=strcat(p,f);
pix=getframe(handles.axes1);
imwrite(pix.cdata,str,'jpg')
% --- Executes on button press in pushbutton12.
function pushbutton12_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton12 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global select_function
global mypic
global I2
select_function = get(handles.popupmenu1, 'value');
disp(select_function)
%% 均衡
if select_function == 2
sourcePic=mypic;
[m,n,o]=size(sourcePic);
%grayPic=rgb2gray(sourcePic);
%% 通道一
grayPic=sourcePic(:,:,1);
gp=zeros(1,256); %计算各灰度出现的概率
for i=1:256
gp(i)=length(find(grayPic==(i-1)))/(m*n);
end
newGp=zeros(1,256); %计算新的各灰度出现的概率
S1=zeros(1,256);
S2=zeros(1,256);
tmp=0;
for i=1:256
tmp=tmp+gp(i);
S1(i)=tmp;
S2(i)=round(S1(i)*256);
end
for i=1:256
newGp(i)=sum(gp(find(S2==i)));
end
newGrayPic=grayPic; %填充各像素点新的灰度值
for i=1:256
newGrayPic(find(grayPic==(i-1)))=S2(i);
end
nr=newGrayPic;
%% 通道二
grayPic=sourcePic(:,:,2);
gp=zeros(1,256); %计算各灰度出现的概率
for i=1:256
gp(i)=length(find(grayPic==(i-1)))/(m*n);
end
newGp=zeros(1,256); %计算新的各灰度出现的概率
S1=zeros(1,256);
S2=zeros(1,256);
tmp=0;
for i=1:256
tmp=tmp+gp(i);
S1(i)=tmp;
S2(i)=round(S1(i)*256);
end
for i=1:256
newGp(i)=sum(gp(find(S2==i)));
end
newGrayPic=grayPic; %填充各像素点新的灰度值
for i=1:256
newGrayPic(find(grayPic==(i-1)))=S2(i);
end
ng=newGrayPic;
%% 通道三
grayPic=sourcePic(:,:,3);
gp=zeros(1,256); %计算各灰度出现的概率
for i=1:256
gp(i)=length(find(grayPic==(i-1)))/(m*n);
end
newGp=zeros(1,256); %计算新的各灰度出现的概率
S1=zeros(1,256);
S2=zeros(1,256);
tmp=0;
for i=1:256
tmp=tmp+gp(i);
S1(i)=tmp;
S2(i)=round(S1(i)*256);
end
for i=1:256
newGp(i)=sum(gp(find(S2==i)));
end
newGrayPic=grayPic; %填充各像素点新的灰度值
for i=1:256
newGrayPic(find(grayPic==(i-1)))=S2(i);
end
nb=newGrayPic;
%% 合并之前成果
res=cat(3,nr,ng,nb);
axes(handles.axes1)
imshow(res,[]);
end
%% 边缘检测
if select_function == 3
I2=edge(mypic,'prewitt',0.05);
%以自动阈值选择法地图像进行Roberts算子检测
% [I2,thresh1]=edge(mypic,'roberts');
%返回当前Roberts算子边缘检测的阈值
axes(handles.axes5);
imshow(I2);
axes(handles.axes4);
imhist(I2)
end
%% 动态边缘检测
if select_function == 4
i = 0.45
set(handles.pushbutton12,'UserData',1);
while(i>0 & get(handles.pushbutton12,'UserData') ==1)
I2=edge(mypic,'prewitt',i);
%以自动阈值选择法地图像进行Roberts算子检测
% [I2,thresh1]=edge(mypic,'roberts');
%返回当前Roberts算子边缘检测的阈值
axes(handles.axes5);
imshow(I2);
title(['K:',num2str(i)]);
axes(handles.axes4);
imhist(I2)
i = i - 0.003
pause(0.01)
drawnow
end
guidata(hObject, handles);
end
%% 动态模糊处理
if select_function == 5
H = fspecial('motion',20,45);
I2 = imfilter(mypic,H,'replicate');
axes(handles.axes5);
imshow(I2);
xlabel('动态模糊图像');
axes(handles.axes4);
imhist(I2)
end
%% 模糊处理
if select_function == 6
H = fspecial('disk',10);
I2 = imfilter(mypic,H,'replicate');
axes(handles.axes5);
imshow(I2);
xlabel('模糊图像');
axes(handles.axes4);
imhist(I2)
end
%% 黑白二值化
if select_function == 7
level=graythresh(mypic); % 设置黑白转换阈值
I2=im2bw(mypic,level); % 将图像转换为黑白图像
% 根据上面直方图选择阈值150,划分图像的前景和背景
axes(handles.axes5);
imshow(I2);
xlabel('黑白二值化图像');
axes(handles.axes4);
imhist(I2);
end
%% 膨胀图像
if select_function == 8
se = strel('ball',5,5); %创建椭圆Strel对象
I2=imdilate(mypic,se); %膨胀图像
axes(handles.axes5);
imshow(I2);
xlabel('膨胀图像');
axes(handles.axes4);
imhist(I2)
end
%% 腐蚀图像
if select_function == 9
se = strel('ball',5,5); %创建椭圆Strel对象
I2=imerode(mypic,se); %膨胀图像
axes(handles.axes5);
imshow(I2);
xlabel('腐蚀图像');
axes(handles.axes4);
imhist(I2)
end
%% 特定区域锐化滤波
if select_function == 10
BW = roipoly(mypic);
h = fspecial('unsharp');
I2 = roifilt2(h,mypic,BW);
axes(handles.axes5);
imshow(I2);
end
%% 改变亮度
if select_function == 11
im = 0.1
set(handles.pushbutton12,'UserData',1);
while(im < 10 & get(handles.pushbutton12,'UserData') ==1)
I2 = immultiply(mypic, im);
axes(handles.axes5);
imshow(I2);
xlabel('改变亮度');
title(['缩放系数',num2str(im)]);
pause(0.01)
im = im+0.02;
drawnow
end
guidata(hObject, handles);
end
%% 动态调整图片亮度
if select_function == 12
I2_tem=-double(mypic)+255; %B=-1*A+255，图像求补，注意把A的类型转换为double
axes(handles.axes5);
I2 = uint8(I2_tem);
imshow(I2);
% xlabel('改变亮度');
title('图像求补'); %再把double类型转换为unit8
end
%% 动态加入椒盐噪音
if select_function == 13
set(handles.pushbutton12,'UserData',1);
im = 0.01
while(im < 0.8 & get(handles.pushbutton12,'UserData') ==1)
I2 = imnoise(mypic,'salt & pepper',im);
axes(handles.axes5);
imshow(I2);
title(['加上盐椒噪声后的图像',num2str(im)]);
im = im + 0.01;
pause(0.1);
drawnow;
end
guidata(hObject, handles);
end
%% 改变对比度
if select_function == 14
I2 = imadjust(mypic,stretchlim(mypic),[0 1]);
axes(handles.axes5);
imshow(I2);
title('改变对比度');
end
%% 转换为索引色
if select_function == 15
[I2,map] = rgb2ind(mypic,128);
axes(handles.axes5);
imshow(I2);
colormap(map);
title('RGB转索引色');
end
%% 特定区域高斯滤波
if select_function == 16
axes(handles.axes1)
BW = roipoly(mypic);
h = fspecial('gaussian');
I2 = roifilt2(h,mypic,BW);
axes(handles.axes5);
imshow(I2);
end
%% 特定区域平均滤波
if select_function == 17
axes(handles.axes1)
BW = roipoly(mypic);
h = fspecial('average');
I2 = roifilt2(h,mypic,BW);
axes(handles.axes5);
imshow(I2);
end
%% 特定区域边缘提取
if select_function == 18
axes(handles.axes1)
BW = roipoly(mypic);
h = fspecial('sobel');
I2 = roifilt2(h,mypic,BW);
axes(handles.axes5);
imshow(I2);
end
%% 特定区域马赛克
if select_function == 19
axes(handles.axes1)
BW = roipoly(mypic);
h = fspecial('disk',30);
I2 = roifilt2(h,mypic,BW);
axes(handles.axes5);
imshow(I2);
end
% --- Executes on button press in pushbutton14.
function pushbutton14_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton14 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
set(handles.pushbutton12,'UserData',0);
guidata(hObject, handles);
% --- Executes on button press in pushbutton16.
function pushbutton16_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton16 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global vid jieshu;
jieshu=1;
faceDetector = vision.CascadeObjectDetector();
hvp=vision.VideoPlayer('WindowCaption','face detect system','WindowPosition',[100,100,640,480]);
hcsc=vision.ColorSpaceConverter;
hcsc.Conversion='RGB to YCbCr';
hsi = vision.ShapeInserter('BorderColor','Custom','CustomBorderColor',[255 255 0]);
% hsi=vision.ShapeInserter('Shape','Rectangles', 'BorderColor','Custom','CustomBorderColor',[255,0 0]);
while jieshu
frame=getsnapshot(vid);
frame1=im2double(frame);
Pts= step(faceDetector, frame1);
frame=step(hsi,frame1,Pts);
step(hvp,frame);
end
close(hvp);
function varargout = facedetect_OutputFcn(hObject, eventdata, handles)
varargout{1} = handles.output;
function axespreview_CreateFcn(hObject, eventdata, handles)
set(hObject,'xTick',[]);
set(hObject,'ytick',[]);
set(hObject,'box','on');
% --- Executes during object creation, after setting all properties.
function axesshow_CreateFcn(hObject, eventdata, handles)
set(hObject,'xTick',[]);
set(hObject,'ytick',[]);
set(hObject,'box','on');
function pushbutton17_Callback(hObject, eventdata, handles)
global jieshu;
jieshu=0;
% --- Executes during object creation, after setting all properties.
function pushbutton17_CreateFcn(hObject, eventdata, handles)
% --- Executes during object creation, after setting all properties.
function axes6_CreateFcn(hObject, eventdata, handles)
I=imread('uestc.jpg');
imshow(I);
% --- Executes on button press in pushbutton18.
function pushbutton18_Callback(hObject, eventdata, handles)
global mypic %axes1的图像
% global I1 %axes2的图像
global MSES
global compressRatioS
select_function2 = get(handles.popupmenu2, 'value');
RGB = mypic;
% RGB=imresize(RGB,[168,224]);%因为1.jpg大小为169*220，所以我改为168*224
imwrite(RGB,'H:\matlab\GUI_STUDY\GUI_sum\image_compess\start.jpg'); %保存压缩前图像
%下面是对RGB三个分量进行分离,此时他们依然为整数
R=RGB(:,:,1);
G=RGB(:,:,2);
B=RGB(:,:,3);
start_info = imfinfo('H:\matlab\GUI_STUDY\GUI_sum\image_compess\start.jpg')
axes(handles.axes1)
imshow(RGB),title('原来的RGB图像');
start_size = start_info.FileSize;
xlabel(num2str(start_size))
%% matlab压缩功能测试
imwrite(RGB,'H:\matlab\GUI_STUDY\GUI_sum\image_compess\matlab自动压缩一次.jpg'); %保存压缩前图像
%由于1.jpg和压缩前.jpg大小差距很大，从中可以看出matlab对图像进行了压缩
RGB=imread('H:\matlab\GUI_STUDY\GUI_sum\image_compess\matlab自动压缩一次.jpg');%读取图片
imwrite(RGB,'H:\matlab\GUI_STUDY\GUI_sum\image_compess\matlab自动压缩二次.jpg'); %保存压缩前图像
RGB=imread('H:\matlab\GUI_STUDY\GUI_sum\image_compess\matlab自动压缩二次.jpg');%读取图片
imwrite(RGB,'H:\matlab\GUI_STUDY\GUI_sum\image_compess\matlab自动压缩三次.jpg'); %保存压缩前图像
RGB=imread('H:\matlab\GUI_STUDY\GUI_sum\image_compess\matlab自动压缩三次.jpg');%读取图片
imwrite(RGB,'H:\matlab\GUI_STUDY\GUI_sum\image_compess\matlab自动压缩五次.jpg'); %保存压缩前图像
%测试结束
%% 转化为YUV图像
Y=0.299*double(R)+0.587*double(G)+0.114*double(B);
U=-0.169*double(R)-0.3316*double(G)+0.5*double(B);
V=0.5*double(R)-0.4186*double(G)-0.0813*double(B);
YUV=cat(3,Y,U,V);%YUV图像
axes(handles.axes4)
imshow(uint8(YUV)),title('通过计算得到的YUV图像')
%% 进行DCT变换
T=dctmtx(8);%产生一个8*8的DCT变换矩阵
%进行DCT变换 BY BU BV是double类型
BY=blkproc(Y,[8 8],'P1*x*P2',T,T');
BU=blkproc(U,[8 8],'P1*x*P2',T,T');
BV=blkproc(V,[8 8],'P1*x*P2',T,T');
a=[16 11 10 16 24 40 51 61;
12 12 14 19 26 58 60 55;
14 13 16 24 40 57 69 55;
14 17 22 29 51 87 80 62;
18 22 37 56 68 109 103 77;
24 35 55 64 81 104 113 92;
49 64 78 87 103 121 120 101;
72 92 95 98 112 100 103 99;]; %亮度的量化模板系数
b=[17 18 24 47 99 99 99 99;
18 21 26 66 99 99 99 99;
24 26 56 99 99 99 99 99;
47 66 99 99 99 99 99 99;
99 99 99 99 99 99 99 99;
99 99 99 99 99 99 99 99;
99 99 99 99 99 99 99 99;
99 99 99 99 99 99 99 99;]; %颜色的量化模板系数
%BY2 BU2 BV2是double类型
BY2=blkproc(BY,[8 8],'x./P1',a);
BU2=blkproc(BU,[8 8],'x./P1',b);
BV2=blkproc(BV,[8 8],'x./P1',b);
%这里进行取整量化,BY3 BU3 BV3是uint8类型
BY3=int8(BY2);
BU3=int8(BU2);
BV3=int8(BV2);
%BY4 BU4 BV4是double类型
BY4=blkproc(double(BY3),[8 8],'x.*P1',a);
BU4=blkproc(double(BU3),[8 8],'x.*P1',b);
BV4=blkproc(double(BV3),[8 8],'x.*P1',b);
%测试代码
%BY4=blkproc(BY2,[8 8],'x.*P1',a);
%BU4=blkproc(BU2,[8 8],'x.*P1',b);
%BV4=blkproc(BV2,[8 8],'x.*P1',b);
%% 根据不同的点数进行压缩
mask = chooseMask(select_function2);
%% 9点 select == 2
%BY5 BU5 BV5是double类型
BY5=blkproc(BY4,[8 8],'P1.*x',mask);
BU5=blkproc(BU4,[8 8],'P1.*x',mask);
BV5=blkproc(BV4,[8 8],'P1.*x',mask);