Fruit and vegetable recognition based on MATLAB GUI gray + binarization + corrosion + histogram processing fruit and vegetable recognition

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 anew 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 orinvalid 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; FilledLabel=imfill(Label,'holes'); % fills the area of the graph enclosed in the middle of the marked boundaryfor 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; End end % Calculates the roundness of each graphic unit by counting the number of pixelsfor i = 1 : num     
    Ecllipseratio(i) = 4*pi*Area(i)/Premeter(i)^2; End % Calculate the color (chroma) of each image HSV= RGB2HSV (I); % to HSV in preparation for extraction of color elements [row,col] = size(FilledLabel); % Count the number of pixels in each block of the filled graph. 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); % Calculate the average chroma value end % identify carrot % build carrot classifier, classify each image in two-dimensional feature space Huluobo =1;
mazarea=Area(1);
for i=1:num
    if(MAZarea <Area(I))% criteria for peach classifier recognition: carrot is judged to have the largest Area in each graph mazarea=Area(I); huluobo=i; HuluoboHSV =HSV; End end % Build corresponding image masks respectively for the categories separated, and mask the original image brightness image.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 % Transform to generate the final result image, the result displayed in the image is the corresponding classifier in the specified category Huluobomatrix = HSV2RGB (huluoboHSV); % convert to an RGB color plot where the rest of the fruit has been filtered out, leaving only carrots 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 % Calculates the perimeter of each graph unit by connecting pixels or counting the number of boundary pixels The numPoints array represents the number of pixels (that is, the number of perimeters) of each graph %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; FilledLabel=imfill(Label,'holes'); % fills the area of the graph enclosed in the middle of the marked boundaryfor 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; % Calculate the area of each shape by counting the number of pixelsCopy the code

Version: 2014 a