Texture Classification Using Rotation Invariant LBP Based on Digital Polygons

被引：4
|
作者：
Pardo-Balado, Juan [1 ]
Fernandez, Antonio [1 ]
Bianconi, Francesco [2 ]
机构：
[1] Univ Vigo, Sch Ind Engn, Vigo 36310, Spain
[2] Univ Perugia, Dept Engn, I-06125 Perugia, Italy
来源：
NEW TRENDS IN IMAGE ANALYSIS AND PROCESSING - ICIAP 2015 WORKSHOPS | 2015年 / 9281卷
关键词：
Local Binary Patterns; Texture classification; Digital circles; Digital polygons; Rotation invariance; COOCCURRENCE; CIRCLES;
D O I：
10.1007/978-3-319-23222-5_11
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 investigates the use of digital polygons as a replacement for circular interpolated neighbourhoods for extracting texture features through Local Binary Patterns. The use of digital polygons has two main advantages: reduces the computational cost, and avoids the high-frequency loss resulting from pixel interpolation. The solution proposed in this work employs a sub-sampling scheme over Andres' digital circles. The effectiveness of the method was evaluated in a supervised texture classification experiment over eight different datasets. The results showed that digital polygons outperformed interpolated circular neighbourhoods in most cases.
引用
收藏
页码：87 / 94
页数：8
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