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【图像分割】基于计算机视觉实现医学影像分割含GUI界面

时间:2022-06-05 来源: 浏览:

【图像分割】基于计算机视觉实现医学影像分割含GUI界面

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1 简介

图像分割是图像处理和计算机视觉中的关键技术之一.它有助于提高基于图像内容的特定目标定位的准确性,在图像的编辑抠图等技术中离不开正确的分割.图像分割的方法浩如烟海,但要实现一个具有通用性的分割技术还面临着很大困难.随着计算机视觉,现代生理学,神经心理学,物体识别,图像处理等学科的综合发展,基于视觉注意的图像分割技术日益引起了人们的普遍关注.它属于国际前沿课题,其理论成果对智能研究和发展具有重要的贡献.在遥感气象服务,医学影像分析,机械制造,产品检测,军事研究,交通图像分析等领域有着广泛的应用前景.本文基于计算机视觉实现医学影像分割。

2 部分代码

function varargout = brain_ysw(varargin) % BRAIN_YSW MATLAB code for brain_ysw.fig % BRAIN_YSW, by itself, creates a new BRAIN_YSW or raises the existing % singleton*. % % H = BRAIN_YSW returns the handle to a new BRAIN_YSW or the handle to % the existing singleton*. % % BRAIN_YSW( ’CALLBACK’ ,hObject,eventData,handles,...) calls the local % function named CALLBACK in BRAIN_YSW.M with the given input arguments. % % BRAIN_YSW( ’Property’ , ’Value’ ,...) creates a new BRAIN_YSW or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before brain_ysw_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to brain_ysw_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 brain_ysw % Last Modified by GUIDE v2.5 10-Jun-2015 13:34:14 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct(’gui_Name’, mfilename, ... ’gui_Singleton’, gui_Singleton, ... ’gui_OpeningFcn’, @brain_ysw_OpeningFcn, ... ’gui_OutputFcn’, @brain_ysw_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 brain_ysw is made visible. function brain_ysw_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 brain_ysw (see VARARGIN) % Choose default command line output for brain_ysw handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes brain_ysw wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = brain_ysw_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) warning off global im_org data load(’data.mat’); % 加载MRI图像数据,整个头颅图像 num = str2num(get(handles.edit1,’string’)); % 从13 - 31 (32-44取反) if num <13 || num>31 msgbox(’num数字不对!num在13-31之间!!!’); end im_org = data(:,:,num); % 第 i 帧图像 axes(handles.axes1) imshow(im_org);title(’原始图像’); % 显示原图像 % --- 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) warning off global im_org data bw max_level = double(max(data(:))); if size(im_org,3)==1 im = im_org; else im = rgb2gray(im_org); end im = permute(im,[3 2 1]); % 重置矩阵的维数 for i=1:3 im = flipdim(im,i); end im(im<=40/255) = 0; % 剔除灰度值低的部分(脑袋和背景) im(im> =100/255) = 0; % 剔除灰度值高的部分(颅骨和其他的组织) im(:,:,1) = 0; % 剔除大脑灰白质下面的部分灰度部分 blk = ones([1 7 7]); % 块操作 % im = imerode(im,blk); % 腐蚀 % 分离大脑脑组织 lev = graythresh(double(im)/max_level) * max_level; % 阈值 bw = (im>=lev); % 二值化 bw = imrotate(squeeze(bw),90); % 变异复原 axes(handles.axes2) imshow(bw);title(’二值化图像’); % --- 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) axes(handles.axes2) imshow(L);title(’灰白质分割图’) % --- 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) clc,clear,close all function edit1_Callback(hObject, eventdata, handles) % hObject handle to edit1 (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 edit1 as text % str2double(get(hObject,’ String ’)) returns contents of edit1 as a double % --- Executes during object creation, after setting all properties. function edit1_CreateFcn(hObject, eventdata, handles) % hObject handle to edit1 (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

3 仿真结果

4 参考文献

[1]李灿飞. 计算机视觉中图像分割技术的研究[D]. 湖南大学, 2005.

博主简介:擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真,相关matlab代码问题可私信交流。

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