A COMPARATIVE-STUDY OF TEXTURE MEASURES WITH CLASSIFICATION BASED ON FEATURE DISTRIBUTIONS

Authors
OJALA T PIETIKAINEN M HARWOOD D
Citation
T. Ojala et al., A COMPARATIVE-STUDY OF TEXTURE MEASURES WITH CLASSIFICATION BASED ON FEATURE DISTRIBUTIONS, Pattern recognition, 29(1), 1996, pp. 51-59
Citations number
15
Categorie Soggetti
Computer Sciences, Special Topics","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence
Journal title
Pattern recognition → ACNP
ISSN journal
00313203
Volume
29
Issue
1
Year of publication
1996
Pages
51 - 59
Database
ISI
SICI code
0031-3203(1996)29:1<51:ACOTMW>2.0.ZU;2-0
Abstract
This paper evaluates the performance both of some texture measures whi ch have been successfully used in various applications and of some new promising approaches proposed recently. For classification a method b ased on Kullback discrimination of sample and prototype distributions is used. The classification results for single features with one-dimen sional feature value distributions and for pairs of complementary feat ures with two-dimensional distributions are presented.