opendatabasetexture.m

matlab做的图像检索源码

function OpenDatabaseTexture(hObject,handles)
dir_name = uigetdir('H:\');
addpath(dir_name);

cd(dir_name);                       
filename = dir('*.jpg');            %get all the image file 
filename = [filename;dir('*.gif')];
filename = [filename;dir('*.tif')];
filename = [filename;dir('*.bmp')];
fileNumber = length(filename);

level = 3;
FV_Inquire = [];
for m=1:fileNumber  
    FV_e =[];
    FV_std = [];
    image1 = imread(filename(m).name);
    if length(size(image1))==3
        image1 = RGB2GRAY(image1);
    end
    
    [Yl,Yh] = dtwavexfm2(image1,level,'near_sym_b','qshift_b');

    sz = size(Yl);
    FV_e(1) = sum(abs(Yl(:)))/sz(1)*sz(2);
    FV_std(1) = std(abs(Yl(:)));

    matric = [];
    for i=1:level
        for j=1:6
            matric = Yh{i,1}(:,:,j);
            sz = size(matric);
            %FV_e((i-1)*6+1+j) = sum(abs(matric(:)))/(sz(1)*sz(2));
            %FV_std((i-1)*6+1+j) = std(abs(matric(:)));
            FV_e((i-1)*6+j) = sum(abs(matric(:)))/(sz(1)*sz(2));
            FV_std((i-1)*6+j) = std(abs(matric(:)));
        end
    end
    
    FV_Inquire(m,:)=[FV_e,FV_std];
end

handles.fileNumber=fileNumber;
handles.filename=filename;
handles.FV_Inquire=FV_Inquire;

%disp_white(handles,1);
% --- Outputs from this function are returned to the command line.% Choose default command line output for image_search1
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes image_search1 wait for user response (see UIRESUME)
% uiwait(handles.figure1);