Publications:Increasing the discrimination power of the co-occurrence matrix-based features

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Title Increasing the discrimination power of the co-occurrence matrix-based features
Author Adas Gelzinis and Antanas Verikas and Marija Bacauskiene
Year 2007
PublicationType Journal Paper
Journal Pattern Recognition
HostPublication
Conference
DOI http://dx.doi.org/10.1016/j.patcog.2006.12.004
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:238540
Abstract This paper is concerned with an approach to exploiting information available from the co-occurrence matrices computed for different distance parameter values. A polynomial of degree n is fitted to each of 14 Haralick's coefficients computed from the average co-occurrence matrices evaluated for several distance parameter values. Parameters of the polynomials constitute a set of new features. The experimental investigations performed substantiated the usefulness of the approach.