Rotation invariant texture classification using even symmetric Gabor filters

被引：54
|
作者：
Manthalkar, R [1 ]
Biswas, PK [1 ]
Chatterji, BN [1 ]
机构：
[1] Indian Inst Technol, Dept Elect & Elect Commun Engn, Kharagpur 721302, W Bengal, India
来源：
PATTERN RECOGNITION LETTERS | 2003年 / 24卷 / 12期
关键词：
rotation invariance; Gabor filter; texture classification; Bayesian classifier;
D O I：
10.1016/S0167-8655(03)00043-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Rotation invariant texture features are derived from the even symmetric Gabor filtered images of texture. The feature used is modified average absolute deviation from mean. Sixty Brodatz textures rotated in 12 different directions are classified using these features. Equal number of samples are used for training and testing phase. The percentage correct classification is 81.02. Segmentation of texture images with rotated textures is demonstrated using the features. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：2061 / 2068
页数：8
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