【图像分割】基于OUST、均值聚类和区域生长法实现医学图像处理系统附GUI界面

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⛄ 内容介绍

在现代医学领域中,医学影像处理技术随着计算机科学和影像技术的进步,已经成为医学领域重要的一个分支.室外光照度不均,CT自身空间分辨率和层厚参数,人体组织器官蠕动等诸多外界因素造成了医学X线图像具有噪声污染,细节信息隐藏,病变组织边缘模糊等问题[1]-[3],对医生诊断和治疗的准确性构成了潜在影响. 本文以"人体肺"CT图像为研究对象,利用MATLAB GUI(Graphical UserInterface)的高度集成开发环境,对图像进行了图像增强,滤波,边缘检测,图像分割和形态学处理操作.结果证明处理后的CT图像较原图像有更好的可视度,有效地改善了图像质量,方便医务人员提取更多有价值的图像细节信息.然而直接通过Matlab软件编程实现图像处理,对于非编程专业的影像医务工作者来说这显然不是一个最佳途径.

⛄ 部分代码

function varargout = main_imagseg(varargin)

% MAIN_IMAGSEG MATLAB code for main_imagseg.fig

%      MAIN_IMAGSEG, by itself, creates a new MAIN_IMAGSEG or raises the existing

%      singleton*.

%

%      H = MAIN_IMAGSEG returns the handle to a new MAIN_IMAGSEG or the handle to

%      the existing singleton*.

%

%      MAIN_IMAGSEG('CALLBACK',hObject,eventData,handles,...) calls the local

%      function named CALLBACK in MAIN_IMAGSEG.M with the given input arguments.

%

%      MAIN_IMAGSEG('Property','Value',...) creates a new MAIN_IMAGSEG or raises the

%      existing singleton*.  Starting from the left, property value pairs are

%      applied to the GUI before main_imagseg_OpeningFcn gets called.  An

%      unrecognized property name or invalid value makes property application

%      stop.  All inputs are passed to main_imagseg_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 main_imagseg

% Last Modified by GUIDE v2.5 17-Mar-2019 10:45:58

% Begin initialization code - DO NOT EDIT

gui_Singleton = 1;

gui_State = struct('gui_Name',       mfilename, ...

                   'gui_Singleton',  gui_Singleton, ...

                   'gui_OpeningFcn', @main_imagseg_OpeningFcn, ...

                   'gui_OutputFcn',  @main_imagseg_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 main_imagseg is made visible.

function main_imagseg_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 main_imagseg (see VARARGIN)

% Choose default command line output for main_imagseg

handles.output = hObject;

axes(handles.axes1)

axis off

axes(handles.axes2)

axis off

% Update handles structure

guidata(hObject, handles);

% UIWAIT makes main_imagseg wait for user response (see UIRESUME)

% uiwait(handles.figure1);

% --- Outputs from this function are returned to the command line.

function varargout = main_imagseg_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)

clc%清除command window上的命令  清屏

[filename,pathname,~]=uigetfile({'*.bmp';'*.jpg'},'All files');%选择图片文件

if~ischar(filename)%如果没有选择 则返回

    return

end

[g,NR]=bwlabel(imreconstruct(SI,TI));

⛄ 运行结果

⛄ 参考文献

[1] 樊万姝. 基于半监督模糊聚类的医学图像分割系统设计[D]. 大连理工大学, 2013.

[2] 翟晓婕. 基于聚类和区域生长的彩色地图图像分割方法研究与实现[D]. 西安电子科技大学.

[3] 杜宇慧, 桂志国, 李晋华. 基于类别方差的三维医学图像分割新方法[J]. 中北大学学报：自然科学版, 2007, 28(2):5.

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