直方图实现危险品识别matlab代码"/>
【图像识别】基于颜色直方图实现危险品识别matlab代码
1 简介
直方图均衡化( Histogram Equalization,HE)技术可以在图像增强[2]、光照补偿[3]、图像去雾[4-5]多个领域取得很好的效果,可见其应用范围广。
2 部分代码
function varargout = main(varargin) % MAIN MATLAB code for main.fig % MAIN, by itself, creates a new MAIN or raises the existing % singleton*. % % H = MAIN returns the handle to a new MAIN or the handle to % the existing singleton*. % % MAIN('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in MAIN.M with the given input arguments. % % MAIN('Property','Value',...) creates a new MAIN or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before main_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to main_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 main% Last Modified by GUIDE v2.5 19-Apr-2016 17:05:45% Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ...'gui_Singleton', gui_Singleton, ...'gui_OpeningFcn', @gui_OpeningFcn, ...'gui_OutputFcn', @main_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{:}); elsegui_mainfcn(gui_State, varargin{:}); end% --- Outputs from this function are returned to the command line. function varargout = main_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; %%GUI界面初始化 function gui_OpeningFcn(hObject, eventdata, handles, varargin) axes( handles.axes1 ) imshow( 'GUI问号.jpg' ) ; axes( handles.axes2 ) imshow( 'GUI问号.jpg' ) ; axes( handles.axes3 ) imshow( 'GUI问号.jpg' ) ; axes( handles.axes4 ) imshow( 'GUI问号.jpg' ) ; handles.output = hObject; set( handles.slider1 , 'Value' , 0.8 ); set( handles.edit1 , 'String' ,0.8 ) ; guidata(hObject, handles);%%打开测试图像 % --- Executes on button press in open_test_img. function open_test_img_Callback(hObject, eventdata, handles) % hObject handle to open_test_img (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global file %定义全局变量 [filename,pathname]=uigetfile({'*.jpg';'*.bmp';'*.gif';'*.png';'*.tif';'*.tga'},'选择测试图像');%跳出对话框 file=strcat(pathname,filename);%生成完成的图像路径和图像名 I=imread(file);%读取图像 axes(handles.axes1);%在第一个坐标系中显示打开的图片 imshow(I);%%进行训练 % --- Executes on button press in start_test. function start_test_Callback(hObject, eventdata, handles) % hObject handle to start_test (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global filename wav_num mydir wav_path_list %全局变量 h = waitbar(0,'正在训练,请稍等...'); for j=1:wav_numstr= strcat(fullfile(mydir, wav_path_list(j).name));I=imread(str);[count1,I] = GetRgbHist(str);Count{j}=count1;II{j}=I;waitbar( j/wav_num ) ; end save('Parametre.mat','Count','II'); close(h);%%退出按钮 % --- Executes on button press in close. function close_Callback(hObject, eventdata, handles) % hObject handle to close (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) close;% --- Executes on button press in open_xunlian. function open_xunlian_Callback(hObject, eventdata, handles) % hObject handle to open_xunlian (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global filename wav_num mydir wav_path_list %全局变量 mydir=uigetdir('c:','请选择训练样本所在的目录');%跳出对话框 wav_path_list = dir(fullfile(mydir,'*.jpg')); wav_num=length(wav_path_list); filename={wav_path_list.name}; str = sprintf('该目录包含%d个图像文件',wav_num); msgbox(str);%%开始检测 % --- Executes on button press in start_jiance. function start_jiance_Callback(hObject, eventdata, handles) % hObject handle to start_jiance (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) load 'Parametre.mat'; [a,b]=size(II); global file [count2,I2] = GetRgbHist(file); %bbbbb=count2 for i=1:b value(i) = imsimilar(Count{i},count2,2); end maxvalue=max(value); [row col]=find(maxvalue==value); axes(handles.axes2); imshow(II{col}); axes(handles.axes3); plot(Count{col}); hold on; plot(count2,'r'); legend('测试图','近似图',2); str = sprintf('图像直方图 相似测试 相似度为:%s %%',num2str(value(col))); title(str); A=(get(handles.slider1,'Value'))*100 if maxvalue>=Aaxes(handles.axes4);imshow('危险品.jpg');[y,fs]=audioread('警报.mp3');sound(y,fs); elseaxes(handles.axes4);imshow('正常.png'); end guidata( hObject , handles ) ;% --- Executes on slider movement. function slider1_Callback(hObject, eventdata, handles) % hObject handle to slider1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA)% Hints: get(hObject,'Value') returns position of slider % get(hObject,'Min') and get(hObject,'Max') to determine range of slider temp_Invisible_w = get( hObject , 'Value' ) ; set( handles.edit1 , 'String' , num2str(temp_Invisible_w) ) ; handles.Invisible_w = temp_Invisible_w ; guidata( hObject , handles ) ;% --- Executes during object creation, after setting all properties. function slider1_CreateFcn(hObject, eventdata, handles) % hObject handle to slider1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called% Hint: slider controls usually have a light gray background. if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))set(hObject,'BackgroundColor',[.9 .9 .9]); endfunction edit1_Callback(hObject, eventdata, handles) % hObject handle to edit1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA)% Hints: get(hObject,'String') returns contents of edit1 as text % str2double(get(hObject,'String')) returns contents of edit1 as a double value0 = str2double( get( hObject , 'String' ) ) ; if isnan(value0)msgbox('要输入数字才行哦!');set( hObject , 'String' , '0' );set( handles.slider1 , 'Value' , 0); elseif value0<0 | value0 >1msgbox('只能数入0-1才行哦!');set( hObject , 'String' , '0' );set( handles.slider1 , 'Value' , value0 ); elseset( handles.slider1 , 'Value' , value0 );handles.edit1 = value0 ;guidata( hObject , handles ) ; end% --- Executes during object creation, after setting all properties. function edit1_CreateFcn(hObject, eventdata, handles) % hObject handle to edit1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called% Hint: edit controls usually have a white background on Windows. % See ISPC and COMPUTER. if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))set(hObject,'BackgroundColor','white'); end
3 仿真结果
4 参考文献
[1]张懿, 刘旭, and 李海峰. "自适应图像直方图均衡算法." 浙江大学学报(工学版) 41.4(2007):630-633.
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【图像识别】基于颜色直方图实现危险品识别matlab代码
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