[Insight-users] Moravec interest point detector

Zachary Pincus zpincus at stanford.edu
Sat Aug 7 16:31:08 EDT 2004


To the best of my knowledge, ITK doesn't have any explicit corner 
detectors off the shelf.
(Since you asked for an edge detection method, that's what I pointed 
you at...)

Detecting "points of interest" is rather application-specific, but if 
you just want corners, there is a large literature on corner detection 
which would repay looking at. (Moravec's is an early and simple 
approach, but there are more complex and arguably better methods to try 
if that doesn't work. The Harris approach is nice, and would be easy to 
put together with ITK's filters.)
  Cf. http://rfv.insa-lyon.fr/~jolion/PAPIERS/ptint/node2.html for a 
good introduction.

Zach


On Aug 6, 2004, at 7:21 PM, Jian XIE wrote:

> Thanks Zachary, If I'm interested in some sort of corner or interesting
> point in the image. Like the change is big in all direction. Is there 
> any
> other methods? I believe Moravec interest point detector might be more
> suitable. I believe the Canny filter can give me some gentle 
> introduction
> to ITK. Thanks
>
>
> On Fri, 6 Aug 2004, Zachary Pincus wrote:
>
>> Jian,
>>
>> You might want to look at the Canny edge detector class in ITK.
>> http://www.itk.org/Doxygen/html/
>> classitk_1_1CannyEdgeDetectionImageFilter.html
>>
>> You should have been able to find this class on your own by searching
>> the ITK class list page, or the class directories on your own 
>> computer,
>> for the term "Edge."
>>
>> Before you start with the Canny filter, I strongly suggest reading up
>> on how precisely it works. See, for example:
>> http://www.cee.hw.ac.uk/hipr/html/canny.html or
>> http://www.pages.drexel.edu/~weg22/can_tut.html (These are the first
>> two hits for "Canny edge" on Google.)
>>
>> Usage tip: make sure to set a threshold for the Canny edge detector.
>> Not doing so defeats the whole purpose and you won't get good edges.
>>
>> Zach Pincus
>>
>> Department of Biochemistry and Program in Biomedical Informatics
>> Stanford University School of Medicine
>>
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