TEXTURE CLASSIFICATION USING TEXTURE SPECTRUM

被引：255

作者：

WANG, L

HE, DC

机构：

[1] UNIV SHERBROOKE,CTR APPLICAT & RECH TELEDETECT,CTR REMOTE SENSING,SHERBROOKE J1K 2R1,QUEBEC,CANADA

[2] ENERGY MINES & RESOURCES CANADA,CANADA CTR REMOTE SENSING,OTTAWA K1A 0Y7,ONTARIO,CANADA

来源：

PATTERN RECOGNITION | 1990年 / 23卷 / 08期

关键词：

Brodatz; Classification; Pattern recognition; Texture analysis; Texture Spectrum; Texture Unit;

D O I：

10.1016/0031-3203(90)90135-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Pursuing our previous study where the Texture Spectrum method has been proposed for texture analysis, the purpose of this paper is to demonstrate the usefulness of the Texture Spectrum for texture classification. Promising results are obtained when applying the Texture Spectrum to classify four of Brodatz's natural images. © 1990.

引用

页码：905 / 910

页数：6

共 18 条

[1]

Beck J., 1983, HUMAN MACHINE VISION

[2]

BRODATZ P, 1968, TEXTURES PHOTOGRAPHI

[3] A SPATIAL-FILTERING APPROACH TO TEXTURE ANALYSIS [J].