【图像分割】基于迭代阙值选择、最大类间差、区域生长多种算法实现图像分割含Matlab源码
【图像分割】基于迭代阙值选择、最大类间差、区域生长多种算法实现图像分割含Matlab源码
TT_Matlab
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,完整matlab代码或者程序定制加qq1575304183。
1 简介
重点讨论了图像分割法中的阈值研究法,包括迭代阙值选择、最大类间差、区域生长进行了重点分析,用Matlab进行实现并给出了实验结果.
2 部分代码
function varargout = ImageDivision(varargin)
%
IMAGEDIVISION M-file
for
ImageDivision.fig
%
IMAGEDIVISION, by itself, creates a new IMAGEDIVISION or raises the existing
%
singleton*.
%
%
H = IMAGEDIVISION returns the handle to a new IMAGEDIVISION or the handle to
%
the existing singleton*.
%
%
IMAGEDIVISION(
’CALLBACK’
,hObject,eventData,handles,...) calls the
local
%
function
named CALLBACK
in
IMAGEDIVISION.M with the given input arguments.
%
%
IMAGEDIVISION(
’Property’
,
’Value’
,...) creates a new IMAGEDIVISION or raises the
%
existing singleton*. Starting from the left, property value pairs are
%
applied to the GUI before ImageDivision_OpeningFcn gets called. An
%
unrecognized property name or invalid value makes property application
%
stop. All inputs are passed to ImageDivision_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 ImageDivision
%
Last Modified by GUIDE v2.5 26-Aug-2013 17:11:44
%
Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct(’gui_Name’, mfilename, ...
’gui_Singleton’, gui_Singleton, ...
’gui_OpeningFcn’, @ImageDivision_OpeningFcn, ...
’gui_OutputFcn’, @ImageDivision_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 ImageDivision is made visible.
function ImageDivision_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 ImageDivision (see VARARGIN)
%
Choose default command line output for ImageDivision
handles.output = hObject;
%
Update handles structure
guidata(hObject, handles);
%
UIWAIT makes ImageDivision wait for user response (see UIRESUME)
%
uiwait(handles.figure1);
%
--- Outputs from this function are returned to the command line.
function varargout = ImageDivision_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;
%
--------------------------------------------------------------------
function file_Callback(hObject, eventdata, handles)
%
hObject handle to file (see GCBO)
%
eventdata reserved - to be defined in a future version of MATLAB
%
handles structure with handles and user data (see GUIDATA)
%
--------------------------------------------------------------------
function MorphProcessing_Callback(hObject, eventdata, handles)
%
hObject handle to MorphProcessing (see GCBO)
%
eventdata reserved - to be defined in a future version of MATLAB
%
handles structure with handles and user data (see GUIDATA)
%
--------------------------------------------------------------------
function ImageDilate_Callback(hObject, eventdata, handles)
%
hObject handle to ImageDilate (see GCBO)
%
eventdata reserved - to be defined in a future version of MATLAB
%
handles structure with handles and user data (see GUIDATA)
set(handles.axes2,’HandleVisibility’,’ON’);
axes(handles.axes2);
I=handles.img;
se=strel(’disk’,1);
I2=imdilate(I,se);
imshow(I2);
set(handles.axes2,’HandleVisibility’,’OFF’);
%
--------------------------------------------------------------------
function ImgErode_Callback(hObject, eventdata, handles)
%
hObject handle to ImgErode (see GCBO)
%
eventdata reserved - to be defined in a future version of MATLAB
%
handles structure with handles and user data (see GUIDATA)
set(handles.axes2,’HandleVisibility’,’ON’);
axes(handles.axes2);
I=handles.img;
se=strel(’disk’,1);
I2=imerode(I,se);
imshow(I2);
set(handles.axes2,’HandleVisibility’,’OFF’);
%
--------------------------------------------------------------------
function ImgOpen_Callback(hObject, eventdata, handles)
%
hObject handle to ImgOpen (see GCBO)
%
eventdata reserved - to be defined in a future version of MATLAB
%
handles structure with handles and user data (see GUIDATA)
set(handles.axes2,’HandleVisibility’,’ON’);
axes(handles.axes2);
I=handles.img;
se=strel(’disk’,1);
I2=imopen(I,se);
imshow(I2);
set(handles.axes2,’HandleVisibility’,’OFF’);
%
--------------------------------------------------------------------
function ImgClose_Callback(hObject, eventdata, handles)
%
hObject handle to ImgClose (see GCBO)
%
eventdata reserved - to be defined in a future version of MATLAB
%
handles structure with handles and user data (see GUIDATA)
set(handles.axes2,’HandleVisibility’,’ON’);
axes(handles.axes2);
I=handles.img;
se=strel(’disk’,1);
I2=imclose(I,se);
imshow(I2);
set(handles.axes2,’HandleVisibility’,’OFF’);
3 仿真结果
4 参考文献
[1]黄谊, 任毅. 基于阈值法和区域生长法的图像分割算法研究[J]. 电子测试, 2012(10):4.
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。
部分理论引用网络文献,若有侵权联系博主删除。
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