Invariant features of Local Textures - a rotation invariant local texture descriptor

被引：0
|
作者：
Janney, Pranam [1 ,2 ]
Yu, Zhenghua [1 ,2 ]
机构：
[1] Univ New South Wales, Sch Engn & Comp Sci, Sydney, NSW, Australia
[2] Natl ICT Australia, Sydney, NSW, Australia
来源：
2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this paper, we present a new rotation-invariant texture descriptor algorithm called Invariant Features of Local Textures (IFLT). The proposed algorithm extracts rotation invariant features from a small neighbourhood of pixels around a centre pixel or a texture patch. Intensity vector which is derived from a texture patch is normalized and Haar wavelet filtered to derive rotation-invariant features. Texture classification experiments on the Brodatz album and Outex databases have shown that the proposed algorithm has a high rate of correct classification.
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页码：2838 / +
页数：2
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