【图像分割】基于matlab GUI阙值+边缘检测+区域法图像分割【含Matlab源码 817期】

一、图像分割简介

理论知识参考：【基础教程】基于matlab图像处理图像分割【含Matlab源码 191期】

二、部分源代码

function varargout = Segimage(varargin)

gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @Segimage_OpeningFcn, ...
                   'gui_OutputFcn',  @Segimage_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 Segimage is made visible.
function Segimage_OpeningFcn(hObject, eventdata, handles, varargin)
handles.output = hObject;
guidata(hObject, handles);


% --- Outputs from this function are returned to the command line.
function varargout = Segimage_OutputFcn(hObject, eventdata, handles) 
varargout{1} = handles.output;

% -----载入图像
function inputimage_Callback(hObject, eventdata, handles)
[filename, pathname] = uigetfile( ...
{'*.bmp;*.jpg;*.png;*.tif;*.jpeg', 'Image Files (*.bmp;*.jpg;*.png;*.tif;*.jpeg)'; ...
        '*.*',                   'All Files (*.*)'}, ...
        'Pick an Image');
 axes(handles.axes_src);
 fpath=[pathname filename];
img_src=imread(fpath);
global S
 S=img_src;
imshow(img_src);

% -----绘制灰度直方图
function imhist_Callback(hObject, eventdata, handles)
global S
figure,imhist(S)

% --------------------------------------------------------------------
function Thresholdmethod_Callback(hObject, eventdata, handles)
% hObject    handle to Thresholdmethod (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --------------------------------------------------------------------
function Edgedet_Callback(hObject, eventdata, handles)
% hObject    handle to Edgedet (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --------------------------------------------------------------------
function Areamethod_Callback(hObject, eventdata, handles)
% hObject    handle to Areamethod (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)




% ----迭代式阀值
function diedai_Callback(hObject, eventdata, handles)
axes(handles.axes_dst);
global S
tic  ;       %计时器
[x,y]=size(S);         % 求出图象大小 
b=double(S);                   
zd=double(max(max(S)));        % 求出图象中最大的灰度 
zx=double(min(min(S))) ;        % 最小的灰度  
T=double((zd+zx))/2;       % T赋初值，为最大值和最小值的平均值 
count=double(0);           % 记录几次循环 
while 1                   % 迭代最佳阈值分割算法 
    count=count+1; 
    S0=0.0; n0=0.0;   %为计算灰度大于阈值的元素的灰度总值、个数赋值 
    S1=0.0; n1=0.0;   %为计算灰度小于阈值的元素的灰度总值、个数赋值 
    for i=1:x
        for j=1:y
            if double(S(i,j))>=T
                S1=S1+double(S(i,j));  %大于阈域值图像点灰度值累加
                n1=n1+1;             %大于阈域值图像点个数累加
            else 
                S0=S0+double(S(i,j));  %小于阈域值图像点灰度值累加
                n0=n0+1;              %小于阀域值图像点个数累加
            end 
        end 
    end  
    T0=S0/n0; %求小于阀域值均值
    T1=S1/n1; %求大于阀域值均值
  if abs(T-((T0+T1)/2))<0.1 %迭代至 前后两次阀域值相差几乎为0时停止
        break;
else
T=(T0+T1)/2;    %在阈值T下，迭代阈值的计算过程 
   end 
end 
count ;           %显示运行次数
disp('迭代法最佳阀值：')
T                  %显示最佳阈值 算出T
toc ;               %显示运算时间
i1=im2bw(S,T/255);  % 图像在最佳阈值下二值化 
imshow(i1);
title('迭代阀值分割结果');

% -------Otsu阀值法
function otsu_Callback(hObject, eventdata, handles)
axes(handles.axes_dst);
global S
T=graythresh(S);
g=im2bw(S,T);
imshow(g);
title('otsu阀值分割结果');

% ------分水岭法
function watershed_Callback(hObject, eventdata, handles)
global S
f=S;
%计算梯度图
f=double(f);
hv=fspecial('prewitt');
hh=hv.';
gv=abs(imfilter(f,hv,'replicate'));
gh=abs(imfilter(f,hh,'replicate'));
g=sqrt(gv.^2+gh.^2);

%计算距离函数
df=bwdist(f);

%计算外部约束
L=watershed(df);
em=L==0;

%计算内部约束
im=imextendedmax(f,20);

%重构梯度图
g2=imimposemin(g,im|em);

%watershed算法分割
L2=watershed(g2);
 
 
axes(handles.axes_dst);
imshow(uint8(f));
title('分水岭法分割结果');

% --------------------------------------------------------------------
function roberts_Callback(hObject, eventdata, handles)
% hObject    handle to roberts (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
axes(handles.axes_dst);
global S
[g,t]=edge(S,'roberts',[],'both');
imshow(g);
title('Roberts算子分割结果');
% --------------------------------------------------------------------
function sobel_Callback(hObject, eventdata, handles)
% hObject    handle to sobel (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
axes(handles.axes_dst);
global S
[g,t]=edge(S,'sobel',[],'both');
imshow(g);
title('Sobel算子分割结果');
% --------------------------------------------------------------------
function prewitt_Callback(hObject, eventdata, handles)
% hObject    handle to prewitt (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
axes(handles.axes_dst);
global S
[g,t]=edge(S,'prewitt',[],'both');
imshow(g);
title('Prewitt算子分割结果');
% --------------------------------------------------------------------
function log_Callback(hObject, eventdata, handles)
% hObject    handle to log (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
axes(handles.axes_dst);
global S
[g,t]=edge(S,'log');
imshow(g);
title('Log算子分割结果');

% --------------------------------------------------------------------
function canny_Callback(hObject, eventdata, handles)
% hObject    handle to canny (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

global S
 
imshow(g);
title('Canny算子分割结果');

% -------区域生长法
function grow_Callback(hObject, eventdata, handles)
global S
image=S;
 
else
    I=image;
end


  

 

  
1
  
2
  
3
  
4
  
5
  
6
  
7
  
8
  
9
  
10
  
11
  
12
  
13
  
14
  
15
  
16
  
17
  
18
  
19
  
20
  
21
  
22
  
23
  
24
  
25
  
26
  
27
  
28
  
29
  
30
  
31
  
32
  
33
  
34
  
35
  
36
  
37
  
38
  
39
  
40
  
41
  
42
  
43
  
44
  
45
  
46
  
47
  
48
  
49
  
50
  
51
  
52
  
53
  
54
  
55
  
56
  
57
  
58
  
59
  
60
  
61
  
62
  
63
  
64
  
65
  
66
  
67
  
68
  
69
  
70
  
71
  
72
  
73
  
74
  
75
  
76
  
77
  
78
  
79
  
80
  
81
  
82
  
83
  
84
  
85
  
86
  
87
  
88
  
89
  
90
  
91
  
92
  
93
  
94
  
95
  
96
  
97
  
98
  
99
  
100
  
101
  
102
  
103
  
104
  
105
  
106
  
107
  
108
  
109
  
110
  
111
  
112
  
113
  
114
  
115
  
116
  
117
  
118
  
119
  
120
  
121
  
122
  
123
  
124
  
125
  
126
  
127
  
128
  
129
  
130
  
131
  
132
  
133
  
134
  
135
  
136
  
137
  
138
  
139
  
140
  
141
  
142
  
143
  
144
  
145
  
146
  
147
  
148
  
149
  
150
  
151
  
152
  
153
  
154
  
155
  
156
  
157
  
158
  
159
  
160
  
161
  
162
  
163
  
164
  
165
  
166
  
167
  
168
  
169
  
170
  
171
  
172
  
173
  
174
  
175
  
176
  
177
  
178
  
179
  
180
  
181
  
182
  
183
  
184
  
185
  
186
  
187
  
188
  
189
  
190
  
191
  
192
  
193
  
194
  
195
  
196
  
197
  
198
  
199
  
200
  
201
  
202
  
203
  
204
  
205
  
206
  
207
  
208
  
209
  
210
  
211
  
212
  
213
  
214
  
215
  
216
  
217
 

三、运行结果

四、matlab版本及参考文献

1 matlab版本
2014a

2 参考文献
[1] 蔡利梅.MATLAB图像处理——理论、算法与实例分析[M].清华大学出版社，2020.
[2]杨丹,赵海滨,龙哲.MATLAB图像处理实例详解[M].清华大学出版社，2013.
[3]周品.MATLAB图像处理与图形用户界面设计[M].清华大学出版社，2013.
[4]刘成龙.精通MATLAB图像处理[M].清华大学出版社，2015.

文章来源: qq912100926.blog.csdn.net，作者：海神之光，版权归原作者所有，如需转载，请联系作者。

原文链接：qq912100926.blog.csdn.net/article/details/116068060