【水果识别】基于计算机视觉实现水果识别含Matlab源码

function varargout = fruit(varargin)% FRUIT MATLAB code for fruit.fig%      FRUIT, by itself, creates a new FRUIT or raises the existing%      singleton*.%%      H = FRUIT returns the handle to a new FRUIT or the handle to%      the existing singleton*.%%      FRUIT('CALLBACK',hObject,eventData,handles,...) calls the local%      function named CALLBACK in FRUIT.M with the given input arguments.%%      FRUIT('Property','Value',...) creates a new FRUIT or raises the%      existing singleton*.  Starting from the left, property value pairs are%      applied to the GUI before fruit_OpeningFcn gets called.  An%      unrecognized property name or invalid value makes property application%      stop.  All inputs are passed to fruit_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 fruit% Last Modified by GUIDE v2.5 07-May-2015 11:37:32% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name',       mfilename, ...                   'gui_Singleton',  gui_Singleton, ...                   'gui_OpeningFcn', @fruit_OpeningFcn, ...                   'gui_OutputFcn',  @fruit_OutputFcn, ...                   'gui_LayoutFcn',  [] , ...                   'gui_Callback',   []);if nargin && ischar(varargin{1})    gui_State.gui_Callback = str2func(varargin{1});endif 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 fruit is made visible.function fruit_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 fruit (see VARARGIN)set(handles.axes1,'xtick',[]);set(handles.axes1,'ytick',[]);set(handles.axes1,'box','on');set(handles.axes2,'xtick',[]);set(handles.axes2,'ytick',[]);set(handles.axes2,'box','on');% Choose default command line output for fruithandles.output = hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes fruit wait for user response (see UIRESUME)% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.function varargout = fruit_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 structurevarargout{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)str=uigetfile({'*.gif';'*.png';'*.bmp';'*.jpg'},'读取图像');%str=handles.b;I = imread(str);axes(handles.axes1)%在axes1上作图imshow(I);handles.a=I;guidata(hObject,handles)% --- Executes on button press in pushbutton2.function pushbutton2_Callback(hObject, eventdata, handles)% hObject    handle to pushbutton2 (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)img=handles.a;R=img(:,:,1);           %获取彩色图像的r值。G=img(:,:,2);           %获取彩色图像的g值。B=img(:,:,3);           %获取彩色图像的b值。I2=rgb2gray(img);       %将图像灰度化。%figure,imshow(I2),title('灰度图像');BW=im2bw(I2,0.9);       %将图像二值化。SE=strel('rectangle',[40 30]);      % 结构定义J2=imopen(BW,SE);   axes(handles.axes2)% 进行开运算去除噪声和平滑边界imshow(J2);handles.b=J2;guidata(hObject,handles)% --- 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)J2=handles.b;img=handles.a;SE=strel('square',3);                % 定义3×3腐蚀结构元素J=imerode(~J2,SE);                  %对图像进行腐蚀操作。BW2=(~J2)-J;                         % 检测边缘%填充了已有的检测的连续形状边界B = imfill(BW2,'holes');            %对图像填充孔洞。B = bwmorph(B,'remove');            %获得图像中区域边界。%将不同的图形进行分别标记，num表示连接的图形对象的个数[Label,num] = bwlabel(B);           %进行标记。for i = 1 : num    Area(i) = 0;endLabel = imfill(Label,'holes');       %填充打过标记的边界线中间围成的图形区域%计算各个图像的hsv颜色（色度）HSV = rgb2hsv(img);                  %转换为HSV颜色模型。[row,col] = size(Label);             %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);             %初始化    for i = 1 : num        Hue = zeros(Area(i),1);     %初始化        nPoint = 0;                 %初始化        for j = 1 : row            for k = 1 : col                if(Label(j,k) == i)                    nPoint = nPoint + 1;            %对于是连通区域中的点npoint+1.                    Hue(nPoint,1) = HSV(j,k,1);     %把hsv的值赋给Hue数组。                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);     %将hsv(i)的值赋给MeanHue(i)        end        MeanHue(i) = MeanHue(i) / (0.8*nPoint);     %计算出平均的色度值    end%调用regionprops函数获得各个联通区域的属性值(中心点坐标，外接椭圆的长短轴长度，面积)。[L,num]=bwlabel(BW2);                               %重新进行区域标记。stats= regionprops(L, 'ALL');                       %调用regionprops函数。for i= 1:numlongth(i)=stats(i).MajorAxisLength;                 %获得外接椭圆的长轴长度width(i)=stats(i).MinorAxisLength;                  %获得外接椭圆的短轴长度end%d in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)