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

• 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.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Nyckelord

Co-occurrence matrix

Image texture

Support vector machine

Computational methods

Parameter estimation

Polynomials

Set theory

Information technology

Informationsteknik

Publikations- och innehållstyp

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