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Hi,<br><br>Assume an image which contains a set of randomly distributed gaussian images with diameters of 3 - 10 pixels. The aim is to:<br><br>(1) locate the gaussian images<br><br>(2) fit a guassian model to these images<br><br>The model-to-image registration approach, as described in itk software guide, seems to be a good way of implementing the 2nd part, is that right? Do I need to write a metric myself, or is there anything out-of-the-box currently in itk?<br><br /><hr />The next generation of MSN Hotmail has arrived - <a href='http://www.newhotmail.co.uk' target='_new'>Windows Live Hotmail</a></body>
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