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一、简介

基于matlab GUI 灰度、二值化、腐蚀、直方图处理之水果识别

二、源代码

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 EDITgui_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});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 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 untitledhandles.output = hObject;% Update handles structureguidata(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 structurevarargout{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    endend%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
   
     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    endend
   

三、运行结果

四、备注

完整代码或者代写添加QQ 1575304183

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