简单数字图像处理系统.docx

1、简单数字图像处理系统数字图像课程设计 简单数字图像处理系统function varargout = untitled(varargin)% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct(gui_Name, mfilename, . gui_Singleton, gui_Singleton, . gui_OpeningFcn, untitled_OpeningFcn, . gui_OutputFcn, untitled_OutputFcn, . gui_LayoutFcn, , . gui_

2、Callback, );if nargin & ischar(varargin1) gui_State.gui_Callback = str2func(varargin1);end if nargout varargout1:nargout = gui_mainfcn(gui_State, varargin:);else gui_mainfcn(gui_State, varargin:);end% End initialization code - DO NOT EDIT % - Executes just before untitled is made visible.function un

3、titled_OpeningFcn(hObject, eventdata, handles, varargin) %界面初始化函数setappdata(handles.figure1,I,0); % 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)

4、% varargin command line arguments to untitled (see VARARGIN) % Choose default command line output for untitledhandles.output = hObject; % Update handles structureguidata(hObject, handles); % UIWAIT makes untitled wait for user response (see UIRESUME)% uiwait(handles.figure1); % - Outputs from this f

5、unction are returned to the command line.function varargout = untitled_OutputFcn(hObject, eventdata, handles) %界面输出函数% 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 h

6、andles and user data (see GUIDATA) % Get default command line output from handles structurevarargout1 = handles.output; % -function m_file_Callback(hObject, eventdata, handles)% hObject handle to m_file (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure w

7、ith handles and user data (see GUIDATA) % -function my_file_open_Callback(hObject, eventdata, handles)global I;FileName,PathName = uigetfile(*.bmp;*.jpg;*.tiff;*.gif);%弹出对话框得到打开的路径I=imread(strcat(PathName,FileName);%打开得到的路径下的文件imshow(I)setappdata(handles.figure1,I,I);% handles structure with handles

8、 and user data (see GUIDATA) % -function my_file_save_Callback(hObject, eventdata, handles)global I;%这个是要保存的东西，一般是global的FileName,PathName = uiputfile(*.bmp;*.jpg;*.tiff;*.gif);%弹出对话框的到保存的路径imwrite(I,strcat(PathName,FileName);%存储到该路径下%uigetfile Open standard dialog box for retrieving files%saveas(fi

9、gure_handle,filename,fileformat)%saveas(gcf,picname,jpg) %if isequal(filename,0)|isequal(pathname,0) % return; %如果点了取消%else % fpath=fullfile(pathname,filename); %获取全路径的另一种方法%end %I=getappdata(handles.figure1,I);%imwrite(I,fpath); %保存图片 % -function my_file_exit_Callback(hObject, eventdata, handles)cl

10、ose(handles.figure1); %退出% hObject handle to my_file_exit (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % -function my_file_print_Callback(hObject, eventdata, handles)% hObject handle to my_file_print (see GCB

11、O)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)C:UsersswjDocumentsMATLABuntitled.fig % -function m_image_Callback(hObject, eventdata, handles)% hObject handle to m_image (see GCBO)% eventdata reserved - to be defined in

12、 a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % -function m_image_2bw_Callback(hObject, eventdata, handles)% hObject handle to m_image_2bw (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user d

13、ata (see GUIDATA) % -function m_image_tongji_Callback(hObject, eventdata, handles)%图像直方图的统计与绘制 直方图反应灰度值与像素个数的关系%FileName,PathName = uigetfile(*.bmp;*.jpg;*.tiff;*.gif);%弹出对话框得到打开的路径%I=imread(strcat(PathName,FileName);%打开得到的路径下的文件global I;A = rgb2gray(I); %将真彩色图像转换为灰度图像%figure(Name, 显示灰度图像)subplot(2,

14、2,1);imshow(I);title(原图);%imshow(A);J,I = histeq(A);%imshow(J);subplot(2,2,2);imhist(A,64); %提取图像中的直方图信息title(直方图的统计);%BW= bwperim(A,8);%figure(name,周长)%imshow(BW); % -function m_image_mianji_Callback(hObject, eventdata, handles)global I;BW = bwperim(im2bw(I); %显示二值化后的图像 Area = bwarea(BW) labeled,nu

15、mobjects=bwlabel(BW,8); BW=regionprops(labeled, basic) BW = BW.Area; set(handles.mj,String,strcat(区域面积 = ,num2str(BW); % -function m_image_zhouchang_Callback(hObject, eventdata, handles)% hObject handle to m_image_zhouchang (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB

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

17、llback(hObject, eventdata, handles)% hObject handle to m_change (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % -function m_change_ft_Callback(hObject, eventdata, handles) %普通傅里叶变换与逆变换global I; %傅里叶变换是将时域信号分解为

18、不同频率的正弦和/余弦和的形式subplot(2,2,1); %其通过在时域和频域来回切换图像imshow(I); title(原图);f=rgb2gray(I);A=fftshift(fft2(f);%figure;subplot(2,2,2);imshow(log(abs(A),8,10);title(傅里叶变换图像); % -function m_change_fft_Callback(hObject, eventdata, handles) %快速普通傅里叶变换与逆变换global I;subplot(2,2,1),imshow(I);title(原图);f=rgb2gray(I);

19、%subplot(2,2,2),imshow(f); F=fft2(f); %二维傅里叶变换FS=fftshift(F); S=log(1+abs(FS); %频谱subplot(2,2,3);imshow(S,);title(快速傅里叶变换图像);fr=real(ifft2(ifftshift(FS); %二维傅里叶逆变换ret=im2uint8(mat2gray(fr);subplot(2,2,4),imshow(ret);title(快速傅里叶逆变换图像); % -function m_change_DCT_Callback(hObject, eventdata, handles) %离

20、散余弦变换global I;subplot(2,2,1),imshow(I);title(原图); A= rgb2gray(I); %将其转为灰度 B = dct2(A); %=二维dct变换，即离散余弦变换 subplot(2,2,2),imshow(B);title(离散余弦变换图像) % -function m_change_xiaobo_Callback(hObject, eventdata, handles) %小波变换global I; %定义图片数据存储的全局变量subplot(2,2,1);imshow(I);title(原始图像);A=rgb2gray(I);subplot(

21、2,2,2);imshow(A);title(黑白图像);m,n=wavedec2(A,3,bior3.7);%多尺度二维小波分解B=appcoef2(m,n,bior3.7,2);%将低频取出进行二层的小波变换 subplot(2,2,3);imshow(B);title(二维离散小波变换2层);C=appcoef2(m,n,bior3.7,3);%将低频取出进行二层的小波变换 subplot(2,2,4);imshow(C);title(二维离散小波变换3层); function m_division_Callback(hObject, eventdata, handles)% hObje

22、ct handle to m_division (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % -function m_division_line_Callback(hObject, eventdata, handles)%图像分割点 线global I; A= rgb2gray(I); %将彩色图转化成灰度图B=immultiply(A,1.5);subplot(2

23、,2,1);imshow(I);title(原图);subplot(2,2,2);imshow(B);title(点分割图片); % -function m_division_edge_Callback(hObject, eventdata, handles) %图像边缘检测 提取图像高频分量global I; %定义图片数据存储的全局变量 A=rgb2gray(I); % 图片用的是灰度图像%x,y=size(A);%BW=edge(A);BW1=edge(A,Canny,0.4,0.5) %edge调用Canny为检测算子判别阈值为0.5BW2=edge(A,log,0.4,0.5); %

24、 做阈值为0.07的高斯拉普拉斯（Log）算法 把subplot(2,2,1),imshow(A);title(原图);subplot(2,2,3),imshow(BW1);title(Canny算子边缘检测图像 阀值0.5);subplot(2,2,4),imshow(BW2);title(拉普拉斯算子边缘检测图像 阀值0.5); % -function m_zengqiang_Callback(hObject, eventdata, handles)% hObject handle to m_zengqiang (see GCBO)% eventdata reserved - to be

25、defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA) % -function m_zengqiang_zhongzhi_Callback(hOguidebject, eventdata, handles) %中值滤波 使图像在某一部分 的频率信息通过，其他过低或过高都抑制global I; %滤除噪声 滤除噪声保持图像边缘J=rgb2gray(I); %将真彩色图像转换为灰度图像A= medfilt2(J); %对躁声进行中值滤波subplot(2,2,

26、1);imshow(I);title(原图);subplot(2,2,2);imshow(A);title(中值滤波后图像); % -function m_zengqiang_ditong_Callback(hObject, eventdata, handles) %低通滤波 让图像使高频分量抑制，低频分量通过global I; %定义图片数据存储的全局变量A=rgb2gray(I); %将真彩色图像转换为灰度图像subplot(2,2,1);imshow(I);title(原图);s=fftshift(fft2(A);a,b=size(s);a0=round(a/2);b0=round(b/2);d=10;for i=1:a for j=1:b distance=sqrt(i-a