水果识别系统带界面

function varargout = pjimage(varargin) % PJIMAGE MATLAB code for pjimage.fig % PJIMAGE, by itself, creates a new PJIMAGE or raises the existing % singleton*. % % H = PJIMAGE returns the handle to a new PJIMAGE or the handle to % the existing singleton*. % % PJIMAGE('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in PJIMAGE.M with the given input arguments. % % PJIMAGE('Property','Value',...) creates a new PJIMAGE or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before pjimage_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to pjimage_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 pjimage % Last Modified by GUIDE v2.5 15-Jan-2017 13:31:01 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @pjimage_OpeningFcn, ... 'gui_OutputFcn', @pjimage_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 pjimage is made visible. function pjimage_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 pjimage (see VARARGIN) % Choose default command line output for pjimage handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes pjimage wait for user response (see UIRESUME) % uiwait(handles.figure_pjimage); % --- Outputs from this function are returned to the command line. function varargout = pjimage_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; % -------------------------------------------------------------------- function m_file_Callback(hObject, eventdata, handles)%文件 % hObject handle to m_file (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % -------------------------------------------------------------------- function fruit_kind_Callback(hObject, eventdata, handles)%单个水果识别器 % hObject handle to fruit_kind (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % -------------------------------------------------------------------- function m_image_Callback(hObject, eventdata, handles)%找水果 % hObject handle to m_image (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % -------------------------------------------------------------------- function improsess_Callback(hObject, eventdata, handles)%图像处理 % hObject handle to improsess (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % -------------------------------------------------------------------- function help_Callback(hObject, eventdata, handles)%帮助 % hObject handle to help (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % -------------------------------------------------------------------- function info2_Callback(hObject, eventdata, handles)%% 使用说明 % hObject handle to info2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) H=['使用步骤：1、打开一张含有水果的图片；2、在找水果菜单栏点击各个水果的识别命令；3、可以实现单个水果识别，点击水果识别器即可；']; helpdlg(H,'使用说明'); % -------------------------------------------------------------------- function info_Callback(hObject, eventdata, handles)%% 关于作者 % hObject handle to info (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) H=['本程序由*MATLAB boys and girl*小组联合编写'] helpdlg(H,'about writer'); % -------------------------------------------------------------------- function im2bw_Callback(hObject, eventdata, handles)%% 二值化 % hObject handle to im2bw (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) I=getappdata(handles.figure_pjimage,'img_src'); I=im2bw(I); axes(handles.axes2); imshow(I); % -------------------------------------------------------------------- function imcontour_Callback(hObject, eventdata, handles)%% 轮廓提取 % hObject handle to imcontour (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) I=getappdata(handles.figure_pjimage,'img_src'); I=im2bw(I); axes(handles.axes2); imcontour(I); % -------------------------------------------------------------------- function canny_Callback(hObject, eventdata, handles)%% canny 边缘检测 % hObject handle to canny (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) I=getappdata(handles.figure_pjimage,'img_src'); I=im2bw(I); axes(handles.axes2); edge(I,'canny'); % -------------------------------------------------------------------- function bana_Callback(hObject, eventdata, handles)%香蕉识别 % hObject handle to bana (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) %% 预处理与边缘检测 I=getappdata(handles.figure_pjimage,'img_src'); [~,~,k]=size(I); if k==3 I2=rgb2gray(I); else I2=I; end IA=im2bw(I2,0.2); % 将图像转化为二值图像 IB= bwareaopen(IA, 13); % 去除图像中面积过小的杂点 IC= imfill(IB,'holes'); % 填补图中空 se1=strel('square',3); % 定义腐蚀算法的3*3结构 ID=imerode(IC,se1); % 腐蚀算法 se2=strel('square',3); % 定义膨胀算法的结构 IE=imdilate(ID,se2); % 膨胀算法使轮廓清析 B = bwmorph(IE,'remove'); %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,8); %得到各个图像的边界像素的数组 %% 计算各个图形单元的周长 Premeter=zeros(1,num); for i = 1 : num Premeter(i)=sum(sum(Label==i)); 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 Area=zeros(1,num); for i = 1 : num Area(i)=sum(sum(FilledLabel==i)); end %% 计算各个图形单元的圆度 for i = 1 : num roundness(i) = 4*pi*Area(i)/Premeter(i)^2; end %% 构建香蕉的分类器，在二维特征空间对各个图像进行类别区分 banana=0; d1=1; for i=1:num if((roundness(i)<0.5)) %分类器识别香蕉的准则：判断各个图形中平均圆率值小于0.5的为香蕉 banana(d1)=i;