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From: "Lee Borland" <lborland01@qub.ac.uk>
Newsgroups: comp.soft-sys.matlab
Subject: Re: Horn Detection in Leukaemia Images
Date: Tue, 17 Feb 2009 22:41:01 +0000 (UTC)
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My current detection is working well on other images, see below:

http://i40.tinypic.com/1huu1e.jpg (a little overdetection)
http://i44.tinypic.com/34nrss2.jpg (perfect)

I have not yet attempted on the image attached in my original post as my attention has switched to the horn shaped objects. In terms of automation, I would like to aim for an end result of an automated process but as this is only a masters project and not a phd type researching post, i am happy to initially place importance on manual completion. I have thoughts in my head of my final result being incorporated into a GUI. Would you advise this?

I like your idea on perimeter / area, Image Analysist, thank you for that. Although it may seem crude, I really am attempting for a best estimation type result. For example, if i were to say count the horns in the cell centre, add to the horns found on the cell edge then double the result for the unseen rear of the cell.

I also like the click method. Although manual, it would indeed solve the issue. Can you advise me as to how I would attempt this? Once I finish clicking the horns I could have matlab then double the result, outputting a horn estimation.

What I am now unsure about is that in order to complete analysis in regionprops, I need to complete some segmentation and labelling. As you can see in the images above, I have avoided segmentation through Hough Transform circle detection. Prior to reaching this point i used watershed, blob analysis etc but it really did get tricky. Hough transform detection proved easier in the end. I suppose i'll need to go back to alternatives for horn detection.

Thank you both for your help.