I believe we generally leverage the convolution tools in `scipy.ndimage`. On a high level, the scikit-image project is an extension toolkit for SciPy so we generally* don't reinvent the wheel.
Doesn't scikit-image has a 2d convolution function like cv2.filter2D in OpenCV which enables convolution of an image (or any numpy array) with custom kernel ?
On Tuesday, 9 April 2013 22:10:26 UTC+5:30, abid rahman wrote:Hi,
I would like to add a feature on histogram backprojection as proposed by Swain & Michael J. in their paper "Indexing via color histograms".. Earlier, I had written a simple article on that ( it was focussed for OpenCV) in my blog : http://opencvpython.blogspot.in/2013/03/histograms-4-back- projection.html.
I can have some simple modification to it to integrate it into scikit-image. So I would like to know the opinion of senior developers on this proposal.
Regards
Abid K.