【水果蔬菜识别】基于matlab GUI灰度+二值化+腐蚀+直方图处理水果蔬菜识别【含Matlab源码 1052期】.zip

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 %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 %识别黄瓜 %构建黄瓜的分类器，在二维特征空间对各个图像进行类别区分 huanggua=0; for i=1:num if((Ecllipseratio(i)<0.7))%分类器识别黄瓜的准则：判断各个图形中平均圆率值小于0.7的为黄瓜 huanggua=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 huangguaHSV=HSV; for j = 1 : row for k = 1 : col if(FilledLabel(j,k) ~=huanggua) %huangguaHSV(j,k,2)=0; huangguaHSV(j,k,3)=0; end end end %变换�