Feature Representation

Posted by azizia abdullah on Oct 29, 2009; 3:12pm
URL: http://imagej.273.s1.nabble.com/Re-Trichrome-Stain-Analysis-tp3690608p3690609.html

Dear all,

I am doing research on image categorization. One of the challenging tasks
for me is to construct feature representation from an input image. Thus,
I have a simple question pertaining the feature representation. I have constructed a set
of euclidean distances from an input set of n vectors. The distances are
computed between the set of n vectors and cluster centers or centroids.
After that, I want to use all distances as one of features for indexing.
My question is what is the best way to represent the euclidean distances
for indexing? I know that one of the commonly used approaches is histogram
i.e. histogram of euclidean distances. Does anybody knows what is the best
approach rather than histogram?

kind regards
azizisya.