A comparative study of texture measures with classification based on feature distributions

被引：4673

作者：

Ojala, T

Pietikainen, M

Harwood, D

机构：

[1] UNIV OULU,DEPT ELECT ENGN,SF-90570 OULU,FINLAND

[2] UNIV MARYLAND,CTR AUTOMAT RES,COLLEGE PK,MD 20742

来源：

PATTERN RECOGNITION | 1996年 / 29卷 / 01期

基金：

芬兰科学院;

关键词：

texture analysis; classification; feature distribution; Brodatz textures; Kullback discriminant; performance evaluation;

D O I：

10.1016/0031-3203(95)00067-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper evaluates the performance both of some texture measures which have been successfully used in various applications and of some new promising approaches proposed recently. 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.

引用

页码：51 / 59

页数：9

共 15 条

[1]

[Anonymous], 940 U SO CAL IM PROC

[2]

Brodatz P, 1966, TEXTURES PHOTOGRAPHI

[3] TEXTURE FEATURE PERFORMANCE FOR IMAGE SEGMENTATION [J].