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

页码：87 / 94

页数：8

共 14 条

[1]

Andres E, 2011, LECT NOTES COMPUT SC, V6607, P235, DOI 10.1007/978-3-642-19867-0_20

[2]

[Anonymous], 2008, Handbook of texture analysis

[3] Rotation invariant co-occurrence features based on digital circles and discrete Fourier transform [J].