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📁 三个参数不同的gabor滤波器设计
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<tbody><tr><td class="headercell" height="20" width="70%">&nbsp;2D Gabor Filter(Ver1,2,3)&nbsp;
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            <td valign="top" width="89"><b>Author:</b></td>
            <td colspan="2"><a href="http://www.mathworks.com/matlabcentral/fileexchange/loadAuthor.do?objectType=author&amp;objectId=1094098">Ahmad&nbsp;Poursaberi</a></td>
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            <td height="15" valign="top" width="89"><b>Summary:</b></td>
            <td colspan="2" height="15">To design 2D Gabor filter and apply it to image.</td>
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            <td height="15" valign="top" width="10">&nbsp;</td>
            <td height="15" valign="top" width="125"><b>MATLAB Release:</b></td>
            <td colspan="2" height="15" valign="bottom">R13</td>
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            <td height="15" valign="top" width="125"><b>Required Products:</b></td>
            
            <td colspan="2" height="15">Filter Design Toolbox,Image Processing Toolbox</td>
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            <td valign="top" width="135"><b>Description:</b></td>
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Recent studies on Mathematical modeling of visual cortical cells
[Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank
structure. These filters are found to have Gaussian transfer functions
in the frequency domain. Thus, taking the Inverse Fourier Transform of
this transfer function we get a filter characteristics closely
resembling to the Gabor filters. The Gabor filter is basically a
Gaussian (with variances sx and sy along x and y-axes respectively)
modulated by a complex sinusoid (with centre frequencies U and V along
x and y-axes respectively).<br>
<br>
Gabor filters are used mostly in shape detectin and feature extractin in image processing.<br>
<br>
function [G,gabout] = gaborfilter1(I,Sx,Sy,f,theta);<br>
from 'gaborfilter1' with different f(Frequency) and theta(Angle).<br>
for example<br>
<br>
f:0,2,4,8,16,32<br>
theta = 0,pi/3,pi/6,pi/2,3pi/4<br>
<br>
then for any input image like(eg. stereo.jpg)<br>
<br>
you have 6x5 = 30 filtered images.<br>
<br>
You can choose your desired angles or frequencies.<br>
<br>
You can put nominaly Sx &amp; Sy = 2,4 or some one else.<br>
<br>
For instance I tested above example on ('cameraman.tif')(in MATLAB pictures)<br>
<br>
I = imread('cameraman.tif');<br>
[G,gabout] = gaborfilter1(I,2,4,16,pi/3);<br>
figure,imshow(uint8(gabout));  <br>
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            <td valign="top" width="25%"><b>File Id:</b></td>
            <td width="20%">5237</td>
            <td valign="top" width="25%"><b>Average rating:</b></td>
            <td width="29%">4.1</td>
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            <td valign="top">&nbsp;</td>
            <td valign="top"><b>Size:</b></td>
            <td>2 KB</td>
            <td valign="top"><b># of reviews:</b></td>
            <td>61</td>
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            <td valign="top">&nbsp;</td>
            <td valign="top"><b>Submitted:</b></td>
            <td>2004-06-13</td>
            <td valign="top"><b>Downloads:</b></td>
            <td>16966</td>
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            <td valign="top"><b>Subscribers:</b></td>
            <td>75</td>
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            <td>&nbsp;</td>
            <td valign="top"><b>Keywords:</b></td>
            <td colspan="3" valign="top">Gabor filter,Image Processing</td>
          </tr>

          
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                <td valign="top"><b>Zip file contents:</b></td>
                <td colspan="3" valign="top">gaborfilter.m,  gaborfilter2.m,  gaborfilter1.m</td>
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    <!--Acknowledgements -->
    
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