loadfile.do.htm

這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式

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            <a href="http://www.mathworks.com/matlabcentral/">MATLAB Central</a> &gt;&nbsp;
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<tbody><tr><td class="headercell" width="70%" height="20">&nbsp;Shape Recognition&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=1097712">Ahmed&nbsp;Samieh</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">differentiate Square, Rectangular, Circle from others</td>
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            <td valign="top" width="125" height="15"><b>MATLAB Release:</b></td>
            <td colspan="2" valign="bottom" height="15">R14SP1</td>
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            <td valign="top" width="125" height="15"><b>Required Products:</b></td>
            
            <td colspan="2" height="15">Image Processing Toolbox</td>
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            <td valign="top" width="135"><b>Description:</b></td>
            <td class="lnwrp" width="456">
            Objective<br>
---------<br>
The program should recognize objects like circles, rectangles, and squares from the input image.<br>
<br>
Introduction<br>
------------<br>
This is a shapes classifier based on the properties of each shape, like roundness, ratio of dimensions, centroid,?etc<br>
<br>
In this classifier we will recognize only shapes like circles, rectangles, and squares from the input image.<br>
So, we will concentrate on the steps we will follow to recognize those shapes from any input image.<br>
<br>
We have seven steps:<br>
1 - Read the RGB (colored) image in from user.<br>
2 - Convert image from (RGB) colored to gray image.<br>
3 - Threshold the image (convert gray image to binary image).<br>
4 - Invert the binary image (in order to speed up the time of processing).<br>
5 - Find the boundaries concentrate.<br>
6 - Determine shapes properties (ratio of dimensions, roundness).<br>
7 - Classify shapes according to its properties.<br>
<br>
Input<br>
-----<br>
RGB image have the shapes to recognize.<br>
<br>
Output<br>
------<br>
The RGB image with shapes recognized and labeled.  <br>
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            <td valign="top" width="25%"><b>File Id:</b></td>
            <td width="20%">15491</td>
            <td valign="top" width="25%"><b>Average rating:</b></td>
            <td width="29%">4.36</td>
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            <td valign="top">&nbsp;</td>
            <td valign="top"><b>Size:</b></td>
            <td>3 KB</td>
            <td valign="top"><b># of reviews:</b></td>
            <td>19</td>
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            <td valign="top">&nbsp;</td>
            <td valign="top"><b>Submitted:</b></td>
            <td>2007-07-03</td>
            <td valign="top"><b>Downloads:</b></td>
            <td>4528</td>
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            <td valign="top"><b>Subscribers:</b></td>
            <td>1</td>
            <td colspan="2">&nbsp;</td>
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            <td>&nbsp;</td>
            <td valign="top"><b>Keywords:</b></td>
            <td colspan="3" valign="top">Shape Properties, Analysis, Recognition</td>
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             <td colspan="4" valign="top">&nbsp;</td>
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                <td>&nbsp;</td>
                <td valign="top"><b>Zip file contents:</b></td>
                <td colspan="3" valign="top">test.bmp,  Classify.m</td>
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    <br>
    <!--Acknowledgements -->
    
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