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

举报
海神之光 发表于 2022/05/29 01:48:48 2022/05/29
【摘要】 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) % Auth...

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+((fc*fc/d).^(2*n)));
           end;
               
        end;
    end;

  
 
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • 12
  • 13
  • 14
  • 15
  • 16
  • 17
  • 18
  • 19
  • 20
  • 21
  • 22
  • 23
  • 24
  • 25
  • 26
  • 27
  • 28
  • 29
  • 30
  • 31
  • 32
  • 33
  • 34
  • 35
  • 36
  • 37
  • 38
  • 39
  • 40
  • 41
  • 42
  • 43
  • 44
  • 45
  • 46
  • 47
  • 48
  • 49
  • 50
  • 51
  • 52
  • 53
  • 54
  • 55
  • 56
  • 57
  • 58
  • 59
  • 60
  • 61
  • 62
  • 63
  • 64
  • 65
  • 66
  • 67
  • 68
  • 69
  • 70
  • 71
  • 72
  • 73
  • 74
  • 75
  • 76
  • 77
  • 78
  • 79
  • 80
  • 81
  • 82
  • 83
  • 84
  • 85
  • 86
  • 87
  • 88
  • 89
  • 90
  • 91
  • 92
  • 93
  • 94
  • 95
  • 96
  • 97
  • 98
  • 99
  • 100
  • 101
  • 102
  • 103
  • 104
  • 105
  • 106
  • 107
  • 108
  • 109
  • 110
  • 111
  • 112
  • 113
  • 114
  • 115
  • 116
  • 117
  • 118
  • 119
  • 120
  • 121
  • 122
  • 123
  • 124
  • 125
  • 126
  • 127
  • 128
  • 129
  • 130
  • 131
  • 132
  • 133
  • 134
  • 135
  • 136
  • 137
  • 138
  • 139
  • 140
  • 141
  • 142
  • 143
  • 144
  • 145
  • 146
  • 147
  • 148
  • 149
  • 150
  • 151
  • 152
  • 153
  • 154
  • 155
  • 156
  • 157
  • 158
  • 159
  • 160
  • 161
  • 162
  • 163
  • 164
  • 165
  • 166
  • 167
  • 168
  • 169
  • 170
  • 171
  • 172
  • 173
  • 174
  • 175
  • 176
  • 177
  • 178
  • 179
  • 180
  • 181
  • 182
  • 183
  • 184
  • 185
  • 186
  • 187
  • 188
  • 189
  • 190
  • 191
  • 192
  • 193
  • 194
  • 195
  • 196
  • 197
  • 198
  • 199
  • 200
  • 201
  • 202
  • 203
  • 204
  • 205
  • 206
  • 207
  • 208
  • 209
  • 210
  • 211
  • 212
  • 213
  • 214
  • 215
  • 216
  • 217
  • 218
  • 219
  • 220
  • 221
  • 222
  • 223
  • 224
  • 225
  • 226
  • 227
  • 228
  • 229
  • 230

三、运行结果

在这里插入图片描述

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.

文章来源: qq912100926.blog.csdn.net,作者:海神之光,版权归原作者所有,如需转载,请联系作者。

原文链接:qq912100926.blog.csdn.net/article/details/117185815

【版权声明】本文为华为云社区用户转载文章,如果您发现本社区中有涉嫌抄袭的内容,欢迎发送邮件进行举报,并提供相关证据,一经查实,本社区将立刻删除涉嫌侵权内容,举报邮箱: cloudbbs@huaweicloud.com
  • 点赞
  • 收藏
  • 关注作者

评论(0

0/1000
抱歉,系统识别当前为高风险访问,暂不支持该操作

全部回复

上滑加载中

设置昵称

在此一键设置昵称,即可参与社区互动!

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。