【图像分割】基于matlab GUI图像提取【含Matlab源码 702期】

一、获取代码方式

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二、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】

三、部分源代码

function varargout = go(varargin)
% GO M-file for go.fig
%      GO, by itself, creates a new GO or raises the existing
%      singleton*.
%
%      H = GO returns the handle to a new GO or the handle to
%      the existing singleton*.
%
%      GO('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in GO.M with the given input arguments.
%
%      GO('Property','Value',...) creates a new GO or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before go_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to go_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 go

% Last Modified by GUIDE v2.5 30-Dec-2011 13:41:52

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @go_OpeningFcn, ...
                   'gui_OutputFcn',  @go_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 go is made visible.
function go_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 go (see VARARGIN)

% Choose default command line output for go
handles.output = hObject;
handles.image=[];
% Update handles structure
guidata(hObject, handles);


% UIWAIT makes go wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = go_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)
msgbox({'无94 勾志君 2009012870 ','无94 赵文腾 2009012055','无94 李炳霖 2009011086'},'制作信息','help');


% --- Executes on selection change in listbox1.
function listbox1_Callback(hObject, eventdata, handles)
% hObject    handle to listbox1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hints: contents = cellstr(get(hObject,'String')) returns listbox1 contents as cell array
%        contents{get(hObject,'Value')} returns selected item from listbox1


% --- Executes during object creation, after setting all properties.
function listbox1_CreateFcn(hObject, eventdata, handles)
% hObject    handle to listbox1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: listbox 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 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)
index=get(handles.listbox1,'Value');
switch index
    case 1
handles.image=imread(strcat('imag\','b.jpg'));
    case 2
handles.image=imread(strcat('imag\','c.jpg'));
    case 3
handles.image=imread(strcat('imag\','d.jpg'));
    case 4
handles.image=imread(strcat('imag\','e.jpg'));        
end
axes(handles.axes1);
imshow(handles.image);
set(handles.text9,'String','0s');
guidata(hObject,handles);

% --- 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)
t_begin=clock;
src=handles.image;
[height,width,~]=size(src);
if(height*width<4e+5)scale=4;
else scale=8;
end
temp=mod(width,scale);width=width-temp;
temp=mod(height,scale);height=height-temp;
w=width/scale;h=height/scale;
r=double(src(1:height,1:width,1));g=double(src(1:height,1:width,2));b=double(src(1:height,1:width,3));

ravrg=zeros(h,w);%分块均值阵红
gavrg=zeros(h,w);%分块均值阵绿
bavrg=zeros(h,w);%分块均值阵蓝
color=zeros(h,w);%分块颜色阵
colorscale=0;%颜色空间大小
largestscale=100;%最大颜色空间大小
eps=32;%颜色差别阈值
step=9;%滤波窗口
colorspace=repmat([r(1,1),g(1,1),b(1,1),0],largestscale,1);colorscale=1;
for countw=1:w
    for counth=1:h
        ravrg(counth,countw)=mean(mean(r(counth*scale-(scale-1):counth*scale,countw*scale-(scale-1):countw*scale)));
        gavrg(counth,countw)=mean(mean(g(counth*scale-(scale-1):counth*scale,countw*scale-(scale-1):countw*scale)));
        bavrg(counth,countw)=mean(mean(b(counth*scale-(scale-1):counth*scale,countw*scale-(scale-1):countw*scale)));
        for count3=1:colorscale
            if( all(abs([ravrg(counth,countw)-colorspace(count3,1),gavrg(counth,countw)-colorspace(count3,2),...
                bavrg(counth,countw)-colorspace(count3,3)])<eps) )%和已有颜色相近
                color(counth,countw)=count3;colorspace(count3,4)=colorspace(count3,4)+1;break;
            else if(colorscale==count3 &&colorscale<largestscale)%与已有颜色不同，增添新颜色
                    colorscale=colorscale+1;colorspace(count3+1,:)=[ravrg(counth,countw),gavrg(counth,countw),bavrg(counth,countw),1];
                    color(counth,countw)=count3+1;break;
                end
            end
        end
    end
end

delta=0.005;
temp=1:colorscale;
colorarray=temp(colorspace(:,4)>delta*h*w);%取有效颜色
ratio=zeros(length(colorarray),25);
%开窗
hh=floor(h/8);ww=floor(w/8);j=1;
for counth=ceil(0.0375*h):ceil(h/5):h+1-hh
    for countw=ceil(0.0375*w):ceil(w/5):w+1-ww
        for i=1:length(colorarray)
            ratio(i,j)=sum(sum(color(counth:counth+hh-1,countw:countw+ww-1)==colorarray(i)));
        end
        j=j+1;
    end
end
H=[-2,-1,-0.5,-1,-2;
    -1,0,1.5,0,-1;
    -0.5,1.5,1.5,1.5,-0.5;
    -1,0,1.5,0,-1;
    -2,-1,-0.5,-1,-2;];
H=reshape(H,25,1);
result=ratio*H./colorspace(colorarray,4);
%epsrslt=max(0.6*max(result)+0.4*min(result),mean(result));%mean([mean(result(result<0)),mean(result(result>0))]);
epsrslt=min(0.7*max(result)+0.3*min(result),0.1);
result=colorarray(result>epsrslt);
enable=zeros(1,colorscale);
for i=1:length(result)
    enable(result(i))=1;
end

  

 

  
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四、运行结果

五、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.
[5]赵勇,方宗德,庞辉,王侃伟.基于量子粒子群优化算法的最小交叉熵多阈值图像分割[J].计算机应用研究. 2008,(04)

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/115441705