【图像分割】基于中值滤波结合最大类间法otsu实现图像分割含Matlab源码
【图像分割】基于中值滤波结合最大类间法otsu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
图像分 割技 术在计 算机视 觉 、模 式识别 、医学图像处理等领 域应 用十分广 泛 ,其主要 目的是从一 幅图像 中提取感兴趣 的目标,它是图像分析和图像理解的基础。至今,提出的分割算法 已有上千种 ,其 中最经典 的方法就是基 于灰度 阈值 的分割方法 。在 图像 阈值 化分割计 算 中 ,Otsu法… 因计算 简单 、实时性高等优点被广泛使用。但是 ,一维 Otsu方法只考虑 了图像灰度信 息 ,对噪声较为敏 感 ,抗噪性较 弱 。为解决传统二维 Otsu算法在含噪声较多的图像应用中分割效果较差这一问题 ,本文提出一种基于中值滤波的二维 Otsu图像分割算法 。该算法充分将中值滤波和二维Otsu算法结合起来 ,弥补 了二维 Otsu算法去噪性能的不足 。本文首先利用 自适应 加权中值滤波对噪声图像进行滤波处理;然后再将滤波后的中值图像的二维直方图区域划分由原来 的四分法改为二分法 ,充分考虑了二维直方 图内的每一
个像素点的信息,利用改进的二维 Otsu算法对图像作精确分割 ,计算复杂度 降低,提高了算法的实用性。
考虑 N维 Otsu算法在含噪声较多的图像应用中分割效果较差这一问题 ,本文首先提出一种中值 滤波 ,然后使用该滤波对噪声图像进行滤波处理 。该滤波算法包括三个过程 :
a)对噪声图像进行噪声检测 ;
b)依据窗口中噪声点的个数来确定滤波窗口的大小 ;
C)利用中值滤波对噪声图像进行滤波。
2 部分代码
function varargout = experiment3(varargin)
%
EXPERIMENT3 MATLAB code
for
experiment3.fig
%
EXPERIMENT3, by itself, creates a new EXPERIMENT3 or raises the existing
%
singleton*.
%
%
H = EXPERIMENT3 returns the handle to a new EXPERIMENT3 or the handle to
%
the existing singleton*.
%
%
EXPERIMENT3(
’CALLBACK’
,hObject,eventData,handles,...) calls the
local
%
function
named CALLBACK
in
EXPERIMENT3.M with the given input arguments.
%
%
EXPERIMENT3(
’Property’
,
’Value’
,...) creates a new EXPERIMENT3 or raises the
%
existing singleton*. Starting from the left, property value pairs are
%
applied to the GUI before experiment3_OpeningFcn gets called. An
%
unrecognized property name or invalid value makes property application
%
stop. All inputs are passed to experiment3_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 experiment3
%
Last Modified by GUIDE v2.5 31-May-2018 16:55:57
%
Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct(’gui_Name’, mfilename, ...
’gui_Singleton’, gui_Singleton, ...
’gui_OpeningFcn’, @experiment3_OpeningFcn, ...
’gui_OutputFcn’, @experiment3_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 experiment3 is made visible.
function experiment3_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 experiment3 (see VARARGIN)
%
Choose default command line output for experiment3
handles.output = hObject;
%
Update handles structure
guidata(hObject, handles);
%
UIWAIT makes experiment3 wait for user response (see UIRESUME)
%
uiwait(handles.figure1);
%
--- Outputs from this function are returned to the command line.
function varargout = experiment3_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 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
%
--- 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)
shiyan3 = rgb2gray(imread(’shiyan3.bmp’));
size_filter_m = str2double(get(handles.edit1,’string’));
size_filter_n = str2double(get(handles.edit2,’string’));
if isnan(size_filter_m)
size_filter_m = 3;
end
if isnan(size_filter_n)
size_filter_n = 3;
function edit2_Callback(hObject, eventdata, handles)
%
hObject handle to edit2 (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 edit2 as text
%
str2double(get(hObject,’
String
’)) returns contents of edit2 as a double
%
--- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
%
hObject handle to edit2 (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]倪麟, 龚劬, 曹莉,等. 基于自适应加权中值滤波的二维Otsu图像分割算法[J]. 计算机应用研究, 2013, 30(2):3.
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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