loadfile.do.htm

一个可以用的源码 希望有用 真麻烦 该死的 不是

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<tbody><tr><td class="headercell" width="70%" height="20">&nbsp;kmeans image segmentation&nbsp;
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                 <img src="loadFile.do_files/fullstar.gif" alt="" width="12" height="12" hspace="1"><img src="loadFile.do_files/fullstar.gif" alt="" width="12" height="12" hspace="1"><img src="loadFile.do_files/fullstar.gif" alt="" width="12" height="12" hspace="1"><img src="loadFile.do_files/fullstar.gif" alt="" width="12" height="12" hspace="1"><img src="loadFile.do_files/fullstar_grey.gif" alt="" width="12" height="12" hspace="1">
                

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                             	24 reviews</a>
                             
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              <td valign="top"><b>Code Metrics:</b></td>
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            <td valign="top" width="10">&nbsp;</td>
            <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=1094697">Jose Vicente&nbsp;Manjon-Herrera</a></td>
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            <td valign="top" width="10" height="15">&nbsp;</td>
            <td valign="top" width="89" height="15"><b>Summary:</b></td>
            <td colspan="2" height="15">Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.</td>
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            <td valign="top" width="10" height="15">&nbsp;</td>
            <td valign="top" width="125" height="15"><b>MATLAB Release:</b></td>
            <td colspan="2" valign="bottom" height="15">R13SP1</td>
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            <td valign="top" width="10">&nbsp;</td>
            <td valign="top" width="135"><b>Description:</b></td>
            <td class="lnwrp" width="456">
This program gets an image and the desidered number of partitions and
finds the means of the different classes and provides a clasified image<br>
(mask).  <br>
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              <td width="286"> <b class="feh4blk"> File Details</b></td>
              <td width="228">&nbsp;</td>
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              <td colspan="2"><img src="loadFile.do_files/blue_band_536x5.gif" alt="" width="536" height="5"></td>
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            <td valign="top" width="25%"><b>File Id:</b></td>
            <td width="20%">8379</td>
            <td valign="top" width="25%"><b>Average rating:</b></td>
            <td width="29%">4.18</td>
          </tr>
          <tr bgcolor="#f4f4f4">
            <td valign="top">&nbsp;</td>
            <td valign="top"><b>Size:</b></td>
            <td>1 KB</td>
            <td valign="top"><b># of reviews:</b></td>
            <td>24</td>
          </tr>

          <tr bgcolor="#f4f4f4">
            <td valign="top">&nbsp;</td>
            <td valign="top"><b>Submitted:</b></td>
            <td>2005-08-28</td>
            <td valign="top"><b>Downloads:</b></td>
            <td>13826</td>
          </tr>

          <tr bgcolor="#f4f4f4">
            <td valign="top">&nbsp;</td>
            <td valign="top"><b>Subscribers:</b></td>
            <td>2</td>
            <td colspan="2">&nbsp;</td>
          </tr>

          <tr bgcolor="#f4f4f4">
            <td>&nbsp;</td>
            <td valign="top"><b>Keywords:</b></td>
            <td colspan="3" valign="top">kmeans segmentation</td>
          </tr>

          
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             <td valign="top" width="10">&nbsp;</td>
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    <br>
    <!--Acknowledgements -->
    
     <!--Acknowledgements -->

      









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            <td width="286"> <b class="feh4blk"> User Reviews</b></td>
            <td width="228"> <div class="small" align="right">Number
                of Reviews: 24</div></td>
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