图像边缘检测与图像分割常用算法研究分析-含用户界面.zip

function varargout = ImageSegmentation(varargin) % IMAGESEGMENTATION MATLAB code for ImageSegmentation.fig % IMAGESEGMENTATION, by itself, creates a new IMAGESEGMENTATION or raises the existing % singleton*. % % H = IMAGESEGMENTATION returns the handle to a new IMAGESEGMENTATION or the handle to % the existing singleton*. % % IMAGESEGMENTATION('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in IMAGESEGMENTATION.M with the given input arguments. % % IMAGESEGMENTATION('Property','Value',...) creates a new IMAGESEGMENTATION or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before ImageSegmentation_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to ImageSegmentation_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 ImageSegmentation % Last Modified by GUIDE v2.5 20-Apr-2016 13:59:55 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @ImageSegmentation_OpeningFcn, ... 'gui_OutputFcn', @ImageSegmentation_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 function InitAxes(handles) % 清理 clc; % 坐标系设置 axes(handles.axes1); cla reset; set(handles.axes1, 'XTick', [], 'YTick', [], ... 'XTickLabel', '', 'YTickLabel', '', 'Color', [0.7020 0.7804 1.0000], 'Box', 'On'); % 坐标系设置 axes(handles.axes2); cla reset; set(handles.axes2, 'XTick', [], 'YTick', [], ... 'XTickLabel', '', 'YTickLabel', '', 'Color', [0.7020 0.7804 1.0000], 'Box', 'On'); function filePath = OpenFile(imgfilePath) % 打开文件 % 输出参数： % filePath——文件路径 if nargin < 1 % 设置默认参数 imgfilePath = fullfile(pwd, 'images/lena.bmp'); end % 选择文件对话框 [filename, pathname, filterindex] = uigetfile( ... { '*.bmp','All bmp Files';... '*.jpg','All jpg Files';... '*.*', '所有文件 (*.*)'}, ... '选择文件', ... 'MultiSelect', 'off', ... imgfilePath); % 初始化 filePath = 0; if isequal(filename, 0) || isequal(pathname, 0) % 如果选择无效 return; end % 整合路径 filePath = fullfile(pathname, filename); % --- Executes just before ImageSegmentation is made visible. function ImageSegmentation_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 ImageSegmentation (see VARARGIN) % Choose default command line output for ImageSegmentation handles.output = hObject; % 初始化 InitAxes(handles); handles.I_origin = 0; % Update handles structure guidata(hObject, handles); % UIWAIT makes ImageSegmentation wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = ImageSegmentation_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) % 选择文件 filePath = OpenFile(); if isequal(filePath, 0) % 如果选择文件无效 return; end % 读取 I_origin = imread(filePath); % 显示 axes(handles.axes1); imshow(I_origin, []); title('原图像'); % 存储 handles.I_origin = I_origin; guidata(hObject, handles); % --- 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) if isequal(handles.I_origin, 0) % 如果没有图像 return; end % 初始化 I1 = handles.I_origin; for i = 1 : size(I1, 3) % 逐层处理 I2(:,:,i) = edge(I1(:,:,i),'roberts'); end % 归一化 I2 = mat2gray(I2); % 显示 axes(handles.axes2); imshow(I2, []); title('Robert边缘检测'); % --- 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) if isequal(handles.I_origin, 0) % 如果没有图像 return; end % 初始化 I1 = handles.I_origin; for i = 1 : size(I1, 3) % 逐层处理 I2(:,:,i) = edge(I1(:,:,i),'sobel'); end % 归一化 I2 = mat2gray(I2); % 显示 axes(handles.axes2); imshow(I2, []); title('Sobel边缘检测'); % --- 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) if isequal(handles.I_origin, 0) % 如果没有图像 return; end % 初始化 I1 = handles.I_origin; for i = 1 : size(I1, 3) % 逐层处理 I2(:,:,i) = edge(I1(:,:,i),'prewitt'); end % 归一化 I2 = mat2gray(I2); % 显示 axes(handles.axes2); imshow(I2, []); title('Prewitt边缘检测'); % --- 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) if isequal(handles.I_origin, 0) % 如果没有图像 return; end % 初始化 I1 = handles.I_origin; for i = 1 : size(I1, 3) % 逐层处理 I2(:,:,i) = edge(I1(:,:,i),'log'); end % 归一化 I2 = mat2gray(I2); % 显示 axes(handles.axes2); imshow(I2, []); title('LoG边缘检测'); % --- 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) if isequal(handles.I_origin, 0) % 如果没有图像 return; end % 初始化 I1 = handles.I_origin; for i = 1 : size(I1, 3) % 逐层处理 I2(:,:,i) = edge(I1(:,:,i),'canny'); end % 归一化 I2 = mat2gray(I2); % 显示 axes(handles.axes2); imshow(I2, []); title('Canny边缘检测'); % --- 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) if isequal(handles.I_origin, 0) % 如果没有图像 return; end % 初始化 I_origin = handles.I_origin; for ik = 1 : size(I_origin, 3) % 逐层处理 I1 = I_origin(:,:,ik); % 直方图统计 [count, x] = imhist(I1); % 对直方图平滑,平滑1次 z = medfilt1(count, 10); % 对直方图平滑,平滑2次 z = medfilt1(z, 10); % 对直方图插值 xi = 0:0.1:length(x)-1; % 样条插值