A list,

Fruit recognition based on MATLAB GUI gray scale, binarization, corrosion, histogram processing

Ii. Source code

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

% Last Modified by GUIDE v2.5 15-Jan-2017 01:03:42

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

% Choose default command line output for untitled
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

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


% --- Outputs from this function are returned to the command line.
function varargout = untitled_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 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)
global I FilledLabel HSV MeanHue  Ecllipseratio Label num Premeter Area
 for i = 1 : num
        Premeter(i) = 0;
    end

    [row,col] = size(Label);
    for i = 1 : row
        for j = 1 : col
            if(Label(i,j) > 0)
                Premeter(Label(i,j)) = Premeter(Label(i,j)) + 1;    %计算标记后的各块图形边界中像素的个数的总数
            end
        end
    end

%计算各个图形单元的面积
FilledLabel=imfill(Label,'holes');  %填充打过标记的边界线中间围成的图形区域
for i = 1 : num
    Area(i) = 0;
end

[row,col] = size(FilledLabel);
for i = 1 : row
    for j = 1 : col
        if(FilledLabel(i,j) > 0)
            Area(FilledLabel(i,j)) = Area(FilledLabel(i,j)) + 1;   %通过统计像素点个数的方式来求各形状的面积
        end
    end
end

%计算各个图形单元的圆度
for i = 1 : num     
    Ecllipseratio(i) = 4*pi*Area(i)/Premeter(i)^2;
end

%计算各个图像的颜色(色度)

HSV=rgb2hsv(I);   %转换为HSV,为后面的颜色元素的提取做准备

[row,col] = size(FilledLabel);   %统计填充后的图形中各块图形所含像素的个数的多少
MeanHue = zeros(1,num);
    for i = 1 : num
        Hue = zeros(Area(i),1);
        nPoint = 0;
        for j = 1 : row
            for k = 1 : col
                if(FilledLabel(j,k) == i)
                    nPoint = nPoint + 1;
                    Hue(nPoint,1) = HSV(j,k,1);
                end
            end
        end
        
        Hue(:,i) = sort(Hue(:,1));
        for j = floor(nPoint*0.1) : floor(nPoint*0.9)
            MeanHue(i) = MeanHue(i) + Hue(j,1);
        end
        MeanHue(i) = MeanHue(i) / (0.8*nPoint);  %计算出平均的色度值
    end
%识别菠胡萝卜

%构建胡萝卜的分类器,在二维特征空间对各个图像进行类别区分
huluobo=1;
mazarea=Area(1);
for i=1:num
    if(mazarea<Area(i))%分类器识别桃的准则:判断各个图形中面积最大的为胡萝卜
        mazarea=Area(i);
        huluobo=i;
    end
end
%对分出来的类别分别构建相应的图像掩膜,并用对原图的亮度图像进行掩膜操作
huluoboHSV=HSV;
        for j = 1 : row
            for k = 1 : col
                if(FilledLabel(j,k) ~=huluobo)
                       %huluoboHSV(j,k,2)=0;
                       huluoboHSV(j,k,3)=0;
                end
            end
        end
%变换生成最终的结果图像,图像中显示的结果即对应分类器中指定的类别
huluobomatrix = hsv2rgb(huluoboHSV);%转换为RGB彩图,彩图中已经滤去了其余水果,只剩下胡萝卜
subplot(2,2,4),imshow(huluobomatrix);




% --- 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)
global I Area FilledLabel HSV MeanHue  Ecllipseratio Label num Premeter
%计算各个图形单元的周长   用连接像素点或数边界像素点个数的方法   numPoints数组表示各个图形边界的像素个数(即用个数来表示周长)
 %num = max(max(Label));

    for i = 1 : num
        Premeter(i) = 0;
    end

    [row,col] = size(Label);
    for i = 1 : row
        for j = 1 : col
            if(Label(i,j) > 0)
                Premeter(Label(i,j)) = Premeter(Label(i,j)) + 1;%计算标记后的各块图形边界中像素的个数的总数
            end
        end
    end

%计算各个图形单元的面积
FilledLabel=imfill(Label,'holes');  %填充打过标记的边界线中间围成的图形区域
for i = 1 : num
    Area(i) = 0;
end

[row,col] = size(FilledLabel);
for i = 1 : row
    for j = 1 : col
        if(FilledLabel(i,j) > 0)
            Area(FilledLabel(i,j)) = Area(FilledLabel(i,j)) + 1;%通过统计像素点个数的方式来求各形状的面积
        end
    end
end
Copy the code

3. Operation results