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 EDITgui_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});endif 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_yswhandles.output = hObject;% Update handles structureguidata(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 structurevarargout{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 offglobal im_org dataload('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!!!');endim_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 offglobal im_org data bwmax_level = double(max(data(:))); if size(im_org,3)==1 im = im_org;else im = rgb2gray(im_org);endim = permute(im,[3 2 1]); % 重置矩阵的维数for i=1:3 im = flipdim(im,i);endim(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 allfunction 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.
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