Feature Extraction From Range Imagery Using Mathematical Morphology

Abstract

This (raper presents sever experimental 'rsnits of using the techniques of set and function nratheuaat 'al nrorplrology (1'Ilv1) for feature extraction Front real and synthetic range imagery. Acore specifically. we consider the problciu of extracting silhouetted appendages from real imagery wide coarse range resolution and hat of extracting appendages and corners front synthetic imagery wine high range resolution. AbstractThis p;ipor presents several experimental vesnlts of using the techniques of set and function mathernai -al morphology (MM) for feat n ro extract ion from real and synthetic range imagery. More specifically. \ve consider the problem of extract-ing silhouetted appendages from real imagery with coarse range resolution and thai, of extracting appendages and corners from synthetic imagery with high range resolution.

Some principles and applications of adaptive mathematical morphology for range imagery

“…More specifically, we assume that the only SE sizes available are those in the ordered set N = {nX,kk = l,K;n =°; x,k< v,k+ } where K is the number of available sizes. Notice that, for a reason that is apparent below, we have included the previously discussed pathological size n=0 in N. Now, we can give an exact formula for the limits of the interval , (9) (4)…”