I am new to the concept of Biologically Salient Regions Detector, and I read some papers and they always use the mechanism of Center-Surrond
to computer features intensity, color and orientation. I googled that mechanism but i did not find implementation of it by Opencv
with Java
API or in any other libraries.
Actually i want to create the saliency map, and as far as i researched, some features like intensity, color, orientation are to be computed by the center-surround mechanism/filter.
I read lot o publications and the best of them, just provided a pseudo code but still it lacks clarity. i mean if you have a question regarding detailed issues to have an idea how that filter works, that pseudo code would not help much.
Is the center-surround filter mechanism is implemented in Opencv
or in any other library?
Please provide explanation using and pseudocode.
These links may point you in the right direction I hope.
http://www.cs.rit.edu/~rlc/Dissertation/chapter6color.pdf
http://ilab.usc.edu/publications/doc/Itti_Koch00vr.pdf
https://books.google.co.uk/books?id=MkSY6pFhmYsC&pg=PA540&lpg=PA540&dq=center-surround+filter+mechanism&source=bl&ots=vVbCv_Ilou&sig=aU18i3J4agHVplK8u9psZ_TySks&hl=en&sa=X&ei=tnQ2VeWGHoTmao-xgdgG&ved=0CEsQ6AEwBg#v=onepage&q=center-surround%20filter%20mechanism&f=false
And this link it to an early version of Itti and Koch's saliency model in Pythons OpenCV bindings.
Hope it helps.
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