【虹膜识别】基于matlab GUI滤波器虹膜识别【含Matlab源码 917期】

一、滤波器虹膜识别简介

理论知识参照文献链接：基于加权Gabor滤波器的虹膜识别

二、部分源代码

function varargout = frequencydem(varargin)
% Author : Yingzi Eliza Du
% Version: 1.0
% Date   : January, 27 2004%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...'gui_Singleton',  gui_Singleton, ...'gui_OpeningFcn', @frequencydem_OpeningFcn, ...'gui_OutputFcn',  @frequencydem_OutputFcn, ...'gui_LayoutFcn',  [] , ...'gui_Callback',   []);if nargin & isstr(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
% End initialization code - DO NOT EDIT%----------------------------------------------------------
% --- Executes just before frequencydem is made visible.
function frequencydem_OpeningFcn(hObject, eventdata, handles, varargin)handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
movegui(hObject,'onscreen')% To display application onscreen
movegui(hObject,'center')  % To display application in the center of screen
image_file = get(handles.nameEdit,'String');
im_original=image_read(char(image_file));
set(handles.Or_image,'HandleVisibility','OFF')
set(handles.filtered_image,'HandleVisibility','OFF');
set(handles.difference_image,'HandleVisibility','OFF');
set(handles.filt3D,'HandleVisibility','OFF');
set(handles.filt2D,'HandleVisibility','OFF');
set(handles.Or_image,'HandleVisibility','ON')
axes(handles.Or_image);imagesc(im_original);colormap(gray(256));axis equal;
axis tight;
axis off;
set(handles.Or_image,'HandleVisibility','OFF')
set(handles.Or_image,'XTickLabel',' ','YTickLabel',' ')%----------------------------------------------------------
% --- Outputs from this function are returned to the command line.
function varargout = frequencydem_OutputFcn(hObject, eventdata, handles)
varargout{1} = handles.output;%----------------------------------------------------------
% --- Executes during object creation, after setting all properties.
function image_selection_CreateFcn(hObject, eventdata, handles)
if ispcset(hObject,'BackgroundColor','white');
elseset(hObject,'BackgroundColor',get(0,'defaultUicontrolBackgroundColor'));
end%----------------------------------------------------------
% Executes on button press in apply_button.
function apply_button_Callback(hObject, eventdata, handles)image_file = get(handles.nameEdit,'String');  % to read the image filename selected
im_original=image_read(char(image_file));  % filename
% set(handles.Or_image,'HandleVisibility','ON')  % to make plot 1 visible for original image plot
% image(im_original);
% colormap(gray(256));
% axis image;
% axis off;
% set(handles.filtered_image,'HandleVisibility','OFF') % to make plot 2 unvisible to the original image plotset(handles.Or_image,'XTickLabel',' ','YTickLabel',' ') % to get rid of tick labels
method_number = get(handles.method_selection,'Value'); % selected method
t = get(handles.cutoffEdit,'String');
F_cut = str2num (t);
if F_cut <= 0msgbox ('Please input meaningful cut off frequency');return
end;
% For gaussian blur and USM-Filter method
switch method_numbercase { 1 } %Ideal Filter[im_filtered, H] = ideal_low(im_original, F_cut);case { 2 }[im_filtered, H] = ideal_high(im_original, F_cut);case { 3 } [im_filtered, H] = gaussian_low(im_original,F_cut);case { 4 }[im_filtered, H]= gaussian_high(im_original, F_cut);case { 5 }t = get(handles.butflyEdit,'String');n = str2num (t);if t <= 0msgbox('Invalid order number!');return;end;[im_filtered, H] = butterworth_low(im_original, F_cut,n);case { 6 }t = get(handles.butflyEdit,'String');n = str2num (t);if t <= 0msgbox('Invalid order number!');return;end;[im_filtered, H] = butterworth_high(im_original, F_cut,n);end;set(handles.Or_image,'HandleVisibility','ON')
axes(handles.Or_image);imagesc(im_original);colormap(gray(256));axis equal;
axis tight;
axis off;
set(handles.Or_image,'HandleVisibility','OFF')
set(handles.filtered_image,'HandleVisibility','ON') ; % to make plot 2 visible to the filtered image plot
axes(handles.filtered_image);
imagesc(im_filtered) % to plot filtered imagecolormap(gray(256));
axis equal;
axis tight;
axis off;
set(handles.filtered_image,'HandleVisibility','OFF')
set(handles.difference_image,'HandleVisibility','ON');
axes(handles.difference_image);
dif_image = im_filtered- im_original;
imagesc(dif_image);
colormap(gray(256));
axis equal;
axis tight;
axis off;
set(handles.difference_image,'HandleVisibility','OFF')
set(handles.filt2D,'HandleVisibility','ON');
axes(handles.filt2D);
imagesc(H);
colormap(gray(256));
axis equal;
axis tight;
axis off;
set(handles.filt2D,'HandleVisibility','OFF');
set(handles.filt3D,'HandleVisibility','ON');
axes(handles.filt3D);
[co,ro]=size(H);surfl(H);set(handles.filt3D,'HandleVisibility','OFF');%----------------------------------------------------------
% --- Executes on button press in close_button.
function close_button_Callback(hObject, eventdata, handles)
close all; % to close GUI%----------------------------------------------------------
% --- Executes during object creation, after setting all properties.
function method_selection_CreateFcn(hObject, eventdata, handles)
if ispcset(hObject,'BackgroundColor','white');
elseset(hObject,'BackgroundColor',get(0,'defaultUicontrolBackgroundColor'));
end% --- Executes during object creation, after setting all properties.
function nameEdit_CreateFcn(hObject, eventdata, handles)
% hObject    handle to nameEdit
% 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 ispcset(hObject,'BackgroundColor','white');
elseset(hObject,'BackgroundColor',get(0,'defaultUicontrolBackgroundColor'));
end%Read all kinds of image files
function im_original=image_read(image_file)
lg=length(image_file);
if strcmpi(image_file(lg-2:lg),'mat') | strcmpi(image_file(lg-2:lg),'dat') im_original=load(image_file);
else
im_original=imread(char(image_file));end;
im_original = double(im_original);
t=size(im_original,3);
if t==3imt=floor((im(:,:,1)+im(:,:,2)+im(:,:,3))/3);clear im_original;im_original=imt;clear imt;
end;
t=size(im_original,3);
if t~=1display('Error in opening the image file!');
end;% butterworth high pass filter
function [out, H] = butterworth_high (im,fc,n)[co,ro] = size(im);cx = round(co/2); % find the center of the imagecy = round (ro/2);imf=fftshift(fft2(im));H=zeros(co,ro);for i = 1 : cofor j =1 : rod = (i-cx).^2 + (j-cy).^ 2;if d ~= 0H(i,j) = 1/(1+((fc*fc/d).^(2*n)));end;end;end;

三、运行结果

四、matlab版本及参考文献

1 matlab版本
2014a

2 参考文献
[1] 蔡利梅.MATLAB图像处理——理论、算法与实例分析[M].清华大学出版社，2020.
[2]杨丹,赵海滨,龙哲.MATLAB图像处理实例详解[M].清华大学出版社，2013.
[3]周品.MATLAB图像处理与图形用户界面设计[M].清华大学出版社，2013.
[4]刘成龙.精通MATLAB图像处理[M].清华大学出版社，2015.

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