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
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function varargout = untitled(varargin)
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% UNTITLED MATLAB code for untitled.fig
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% UNTITLED, by itself, creates a new UNTITLED or raises the existing
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% singleton*.
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%
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% H = UNTITLED returns the handle to a new UNTITLED or the handle to
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% the existing singleton*.
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%
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% UNTITLED('CALLBACK',hObject,eventData,handles,...) calls the local
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% function named CALLBACK in UNTITLED.M with the given input arguments.
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%
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% UNTITLED('Property','Value',...) creates a new UNTITLED or raises the
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% existing singleton*. Starting from the left, property value pairs are
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% applied to the GUI before untitled_OpeningFcn gets called. An
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% unrecognized property name or invalid value makes property application
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% stop. All inputs are passed to untitled_OpeningFcn via varargin.
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%
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% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
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% instance to run (singleton)".
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%
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% See also: GUIDE, GUIDATA, GUIHANDLES
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% Edit the above text to modify the response to help untitled
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% Last Modified by GUIDE v2.5 15-Jan-2017 01:03:42
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% Begin initialization code - DO NOT EDIT
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gui_Singleton =
1;
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gui_State = struct(
'gui_Name', mfilename, ...
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'gui_Singleton', gui_Singleton, ...
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'gui_OpeningFcn', @untitled_OpeningFcn, ...
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'gui_OutputFcn', @untitled_OutputFcn, ...
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'gui_LayoutFcn', [] , ...
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'gui_Callback', []);
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if nargin && ischar(varargin{
1})
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gui_State.gui_Callback = str2func(varargin{
1});
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end
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if nargout
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[varargout{
1:nargout}] = gui_mainfcn(gui_State, varargin{:});
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else
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gui_mainfcn(gui_State, varargin{:});
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end
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% End initialization code - DO NOT EDIT
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% --- Executes just before untitled is made visible.
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function untitled_OpeningFcn(hObject, eventdata, handles, varargin)
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% This function has no output args, see OutputFcn.
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% hObject handle to figure
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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% varargin command line arguments to untitled (see VARARGIN)
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% Choose default command line output for untitled
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handles.output = hObject;
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% Update handles structure
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guidata(hObject, handles);
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% UIWAIT makes untitled wait for user response (see UIRESUME)
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% uiwait(handles.figure1);
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% --- Outputs from this function are returned to the command line.
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function varargout = untitled_OutputFcn(hObject, eventdata, handles)
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% varargout cell array for returning output args (see VARARGOUT);
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% hObject handle to figure
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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% Get default command line output from handles structure
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varargout{
1} = handles.output;
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-
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% --- Executes on button press in pushbutton3.
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function pushbutton3_Callback(hObject, eventdata, handles)
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% hObject handle to pushbutton3 (see GCBO)
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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global I FilledLabel HSV MeanHue Ecllipseratio Label num Premeter Area
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for i =
1 : num
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Premeter(i) =
0;
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end
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[row,col] = size(Label);
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for i =
1 : row
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for j =
1 : col
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if(Label(i,j) >
0)
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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
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end
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end
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end
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%计算各个图形单元的面积
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FilledLabel=imfill(Label,
'holes');
%填充打过标记的边界线中间围成的图形区域
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for i =
1 : num
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Area(i) =
0;
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end
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[row,col] = size(FilledLabel);
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for i =
1 : row
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for j =
1 : col
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if(FilledLabel(i,j) >
0)
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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
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end
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end
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end
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%计算各个图形单元的圆度
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for i =
1 : num
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Ecllipseratio(i) =
4*pi*Area(i)/Premeter(i)^
2;
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end
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%计算各个图像的颜色（色度）
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HSV=rgb2hsv(I);
%转换为HSV，为后面的颜色元素的提取做准备
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[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
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MeanHue = zeros(
1,num);
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for i =
1 : num
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Hue = zeros(Area(i),
1);
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nPoint =
0;
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for j =
1 : row
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for k =
1 : col
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if(FilledLabel(j,k) == i)
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nPoint = nPoint +
1;
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Hue(nPoint,
1) = HSV(j,k,
1);
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end
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end
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end
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Hue(:,i) = sort(Hue(:,
1));
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for j = floor(nPoint*
0.1) : floor(nPoint*
0.9)
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MeanHue(i) = MeanHue(i) + Hue(j,
1);
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end
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MeanHue(i) = MeanHue(i) / (
0.8*nPoint);
%计算出平均的色度值
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end
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%识别菠胡萝卜
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%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
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huluobo=
1;
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mazarea=Area(
1);
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for i=
1:num
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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
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mazarea=Area(i);
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huluobo=i;
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end
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end
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%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
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huluoboHSV=HSV;
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for j =
1 : row
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for k =
1 : col
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if(FilledLabel(j,k) ~=huluobo)
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%huluoboHSV(j,k,2)=0;
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huluoboHSV(j,k,
3)=
0;
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end
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end
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end
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%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
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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
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subplot(
2,
2,
4),imshow(huluobomatrix);
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% --- Executes on button press in pushbutton4.
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function pushbutton4_Callback(hObject, eventdata, handles)
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% hObject handle to pushbutton4 (see GCBO)
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% eventdata reserved - to be defined in a future version of MATLAB
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% handles structure with handles and user data (see GUIDATA)
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global I Area FilledLabel HSV MeanHue Ecllipseratio Label num Premeter
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%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）
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%num = max(max(Label));
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for i =
1 : num
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Premeter(i) =
0;
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end
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[row,col] = size(Label);
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for i =
1 : row
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for j =
1 : col
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if(Label(i,j) >
0)
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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
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end
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end
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end
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%计算各个图形单元的面积
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FilledLabel=imfill(Label,
'holes');
%填充打过标记的边界线中间围成的图形区域
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for i =
1 : num
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Area(i) =
0;
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end
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[row,col] = size(FilledLabel);
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for i =
1 : row
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for j =
1 : col
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if(FilledLabel(i,j) >
0)
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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
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end
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end
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end
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三、运行结果
四、备注
完整代码或者代写添加QQ 1575304183
转载：https://blog.csdn.net/weixin_50197058/article/details/116425919
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