Compact rotation-invariant texture classification

被引：0
|
作者：
Southam, P [1 ]
Harvey, R [1 ]
机构：
[1] Univ E Anglia, Sch Comp Sci, Norwich NR4 7TJ, Norfolk, England
来源：
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5 | 2004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：
This paper constructs a texture feature extractor based on a morphological scale-space. It produces features that are invariant to rotation of the texture. The features are used with a very simple k-nearest neighbour classifier and tested using the Outex methodology. The classifier has comparable performance to a number of benchmark classifiers but uses fewer features. The algorithm is quick to compute and provides insight into the underlying structure of texture.
引用
收藏
页码：3033 / 3036
页数：4
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