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

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⛄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});
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 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 ispc
set(hObject,‘BackgroundColor’,‘white’);
else
set(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 plot

set(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 <= 0
msgbox (‘Please input meaningful cut off frequency’);
return
end;
% For gaussian blur and USM-Filter method
switch method_number
case { 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 <= 0
msgbox(‘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 <= 0
msgbox(‘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 image
colormap(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 ispc
set(hObject,‘BackgroundColor’,‘white’);
else
set(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 ispc
set(hObject,‘BackgroundColor’,‘white’);
else
set(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==3
imt=floor((im(:,:,1)+im(:,:,2)+im(:,:,3))/3);
clear im_original;
im_original=imt;
clear imt;
end;
t=size(im_original,3);
if t~=1
display(‘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 image
cy = round (ro/2);
imf=fftshift(fft2(im));
H=zeros(co,ro);
for i = 1 : co
for j =1 : ro
d = (i-cx).^2 + (j-cy).^ 2;
if d ~= 0
H(i,j) = 1/(1+((fcfc/d).^(2n)));
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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