MATLAB实现基于最小误差法的胸片分割系统【计算机视觉、深度学习实战】.zip

function varargout = MainForm(varargin) % MAINFORM MATLAB code for MainForm.fig % MAINFORM, by itself, creates a new MAINFORM or raises the existing % singleton*. % % H = MAINFORM returns the handle to a new MAINFORM or the handle to % the existing singleton*. % % MAINFORM('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in MAINFORM.M with the given input arguments. % % MAINFORM('Property','Value',...) creates a new MAINFORM or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before MainForm_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to MainForm_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 MainForm % Last Modified by GUIDE v2.5 02-May-2017 08:10:18 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @MainForm_OpeningFcn, ... 'gui_OutputFcn', @MainForm_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) clc; axes(handles.axes1); cla reset; set(handles.axes1, 'XTick', [], 'YTick', [], ... 'XTickLabel', '', 'YTickLabel', '', 'Color', [0.7020 0.7804 1.0000], 'Box', 'On'); 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 imgfilePath = fullfile(pwd, 'images/test.jpg'); end [filename, pathname, ~] = uigetfile( ... { '*.jpg','All jpg Files';... '*.png','All png Files';... '*.*', '所有文件 (*.*)'}, ... '选择文件', ... 'MultiSelect', 'off', ... imgfilePath); filePath = 0; if isequal(filename, 0) || isequal(pathname, 0) return; end filePath = fullfile(pathname, filename); % --- Executes just before MainForm is made visible. function MainForm_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 MainForm (see VARARGIN) % Choose default command line output for MainForm handles.output = hObject; InitAxes(handles); handles.I = 0; handles.J = 0; handles.bw_direct = 0; handles.bw_poly = 0; handles.bw__kittler = 0; handles.bw_temp = 0; % Update handles structure guidata(hObject, handles); % UIWAIT makes MainForm wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = MainForm_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) filePath = OpenFile(); if isequal(filePath, 0) return; end Img = imread(filePath); % 灰度化 if ndims(Img) == 3 I = rgb2gray(Img); else I = Img; end axes(handles.axes1); imshow(I, []); title('原图像'); handles.I = I; 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, 0) return; end % 直接二值化 bw_direct = im2bw(handles.I, graythresh(handles.I)); axes(handles.axes2); imshow(bw_direct, []); title('直接二值化分割'); handles.bw_direct = bw_direct; guidata(hObject, handles); % --- 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.bw_direct, 0) return; end % 圈选胃区域空气 c = [1524 1390 1454 1548 1652 1738 1725 1673 1524]; r = [1756 1909 2037 2055 1997 1863 1824 1787 1756]; bw_poly = roipoly(handles.bw_direct, c, r); axes(handles.axes2); imshow(handles.I, []); hold on; plot(c, r, 'r-', 'LineWidth', 2); hold off; title('胃区域空气选择'); handles.bw_poly = bw_poly; guidata(hObject, handles); % --- 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.bw_poly, 0) return; end % 图像归一化 IE = mat2gray(handles.I); % 对比度增强 IE = imadjust(IE, [0.532 0.72], [0 1]); IE = im2uint8(mat2gray(IE)); I = im2uint8(mat2gray(handles.I)); % 显示 axes(handles.axes2); imshow(IE, []); title('图像增强'); figure; subplot(2, 2, 1); imshow(I); title('原图像'); subplot(2, 2, 2); imshow(IE); title('增强图像'); subplot(2, 2, 3); imhist(I); title('原图像直方图'); subplot(2, 2, 4); imhist(IE); title('增强图像直方图'); JE = IE; JE(handles.bw_poly) = 255; handles.JE = JE; guidata(hObject, handles); % --- 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.JE, 0) return; end J = handles.JE; % 直方图统计 [counts, gray_style] = imhist(J); % 亮度级别 gray_level = length(gray_style); % 计算各灰度概率 gray_probability = counts ./ sum(counts); % 统计像素均值 gray_mean = gray_style' * gray_probability; % 初始化 gray_vector = zeros(gray_level, 1); w = gray_probability(1); mean_k = 0; gray_vector(1) = realmax; ks = gray_level-1; for k = 1 : ks % 迭代计算 w = w + gray_probability(k+1); mean_k = mean_k + k * gray_probability(k+1); % 判断是否收敛 if (w < eps) || (w > 1-eps) gray_vector(k+1) = realmax; else % 计算均值 mean_k1 = mean_k / w; mean_k2 = (gray_mean-mean_k) / (1-w); % 计算方差 var_k1 = (((0 : k)'-mean_k1).^2)' * gray_probability(1 : k+1); var_k1 = var_k1 / w; var_k2 = (((k+1 : ks)'-mean_k2).^2)' * gray_probability(k+2 : ks+1); var_k2 = var_k2 / (1-w); % 计算目标函数 if var_k1 > eps && var_k2 > eps gray_vector(k+1) = 1+w * log(var_k1)+(1-w) * log(var_k2)-2*w*log(w)-2*(1-w)*log(1-w); else gray_vector(k+1) = realmax; end end end % 极值统计 min_gray_index = find(gray_vector == min(gray_vector)); min_gray_index = mean(min_gray_index); % 计算阈值 threshold_kittler = (min_gray_index-1)/ks; % 阈值分割 bw__kittler = im2bw(J, threshold_kittler); axes(handles.axes2); imshow(bw__kittle