DocumentCode
3091485
Title
Performance evaluation of texture measures with classification based on Kullback discrimination of distributions
Author
Ojala, Timo ; Pietikainen, Matti ; Harwood, David
Author_Institution
Dept. of Electr. Eng., Oulu Univ., Finland
Volume
1
fYear
1994
fDate
9-13 Oct 1994
Firstpage
582
Abstract
This paper evaluates the performance both of some texture measures which have been successfully used in various applications and of some new promising approaches. For classification a method based on Kullback discrimination of sample and prototype distributions is used. The classification results for single features with one-dimensional feature value distributions and for pairs of complementary features with two-dimensional distributions are presented
Keywords
image texture; Kullback discrimination; classification; complementary features; one-dimensional feature value distributions; performance evaluation; texture measures; Analysis of variance; Autocorrelation; Automation; Distributed computing; Electric variables measurement; Histograms; Image texture analysis; Performance evaluation; Prototypes; Rotation measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6265-4
Type
conf
DOI
10.1109/ICPR.1994.576366
Filename
576366
Link To Document