MATLAB练习.zip_change detection_natlab算法练习_比值变化检测_比值算法_相关系数法

function varargout = ImgChangeDetect(varargin) % IMGCHANGEDETECT MATLAB code for ImgChangeDetect.fig % IMGCHANGEDETECT, by itself, creates a new IMGCHANGEDETECT or raises the existing % singleton*. % % H = IMGCHANGEDETECT returns the handle to a new IMGCHANGEDETECT or the handle to % the existing singleton*. % % IMGCHANGEDETECT('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in IMGCHANGEDETECT.M with the given input arguments. % % IMGCHANGEDETECT('Property','Value',...) creates a new IMGCHANGEDETECT or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before ImgChangeDetect_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to ImgChangeDetect_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 ImgChangeDetect % Last Modified by GUIDE v2.5 03-Dec-2014 19:30:18 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @ImgChangeDetect_OpeningFcn, ... 'gui_OutputFcn', @ImgChangeDetect_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 ImgChangeDetect is made visible. function ImgChangeDetect_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 ImgChangeDetect (see VARARGIN) % Choose default command line output for ImgChangeDetect handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes ImgChangeDetect wait for user response (see UIRESUME) % uiwait(handles.figure_main); % --- Outputs from this function are returned to the command line. function varargout = ImgChangeDetect_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 pushbutton_open1. function pushbutton_open1_Callback(hObject, eventdata, handles) %图像文件的打开 [fname, pname] = uigetfile({ '*.bmp';'*.tif';'*.jpg'}, '选择图片'); if isequal(fname,0)||isequal(pname,0) return; else srcFile = [pname fname]; img1 = imread(srcFile); axes(handles.axes_src1); imshow(img1); title('变化前图像'); % 保存图像1 handles.img_src1 = img1; guidata(hObject,handles); end % --- Executes on button press in pushbutton_open2. function pushbutton_open2_Callback(hObject, eventdata, handles) %图像文件的打开 [fname, pname] = uigetfile({ '*.bmp';'*.tif';'*.jpg'}, '选择图片'); if isequal(fname,0)||isequal(pname,0) return; else srcFile = [pname fname]; img2 = imread(srcFile); axes(handles.axes_src2); imshow(img2); title('变化后图像'); % 保存图像2 handles.img_src2 = img2; guidata(hObject,handles); end % --- Executes on button press in pushbutton_save. function pushbutton_save_Callback(hObject, eventdata, handles) % 保存结果图像 [fname, pname] = uiputfile({'*.bmp';'*.tif';'*.jpg' }, '保存图片为'); if isequal(fname,0)||isequal(pname,0) return; else fpath = fullfile(pname,fname);% 获取全路径 end img_res = handles.img_res; imwrite(img_res,fpath); % --- Executes on button press in pushbutton_exit. function pushbutton_exit_Callback(hObject, eventdata, handles) % 程序退出 close(handles.figure_main); function edit_nChange_Callback(hObject, eventdata, handles) % hObject handle to edit_nChange (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 edit_nChange as text % str2double(get(hObject,'String')) returns contents of edit_nChange as a double % --- Executes during object creation, after setting all properties. function edit_nChange_CreateFcn(hObject, eventdata, handles) % hObject handle to edit_nChange (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 edit_pChange_Callback(hObject, eventdata, handles) % hObject handle to edit_pChange (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 edit_pChange as text % str2double(get(hObject,'String')) returns contents of edit_pChange as a double % --- Executes during object creation, after setting all properties. function edit_pChange_CreateFcn(hObject, eventdata, handles) % hObject handle to edit_pChange (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 when selected object is changed in uipanel_methods. function uipanel_methods_SelectionChangeFcn(hObject, eventdata, handles) % 响应不同的变化检测方法 img1 = handles.img_src1; img2 = handles.img_src2; switch get(hObject,'Tag') case 'radiobutton_ratio' % 对话框输入阈值 prompt = {'输入差异性阈值（0-1）'}; title = '设置阈值'; def = {'0.8'}; lines = 1; answer = inputdlg(prompt,title,lines,def); threshold = answer{1}; threshold = str2num(threshold); % 开始检测 [img_res,nChange] = changedetect(img1,img2,'ratio',threshold); case 'radiobutton_norm' % 对话框输入阈值 prompt = {'输入差异性阈值（0-1）'}; title = '设置阈值'; def = {'0.4'}; lines = 1; answer = inputdlg(prompt,title,lines,def); threshold = answer{1}; threshold = str2num(threshold); % 开始检测 [img_res,nChange] = changedetect(img1,img2,'norm',threshold); case 'radiobutton_corrcoef' % 对话框输入阈值 prompt = {'输入差异性阈值（0-1）'}; title = '设置阈值'; def = {'0.4'}; lines = 1; answer = inputdlg(prompt,title,lines,def); threshold = answer{1}; threshold = str2num(threshold); % 开始检测 [img_res,nChange] = changedetect(img1,img2,'corrcoef',threshold); end axes(handles.axes_res); imshow(img_res); handles.img_res = img_res; guidata(hObject,handles); set(handles.edit_nChange,'string',num2str(nChange)); [m,n] = size(img1); pChange = nChange/(m*n); set(handles.edit_pChange,'string',num2str(pChange));