Multiscale Blob Features for gray-scale, rotation and spatial scale invariant texture classification

被引：0
|
作者：
Xu, Qi [1 ]
Chen, Yan Qiu [1 ]
机构：
[1] Fudan Univ, Sch Informat Sci & Engn, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
来源：
18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS | 2006年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
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 proposes to apply a series of flexible threshold planes to the textured image and then use the topological and geometrical attributes of the blobs in the obtained binary images to describe image texture. The proposed Multiscale Blob Features (MBF) is invariant to linear gray-level scaling and rotation, and is insensitive to uniform spatial scaling. The experiment results show that MBF offers very low error rate on the entire Brodatz texture database, and confirm its invariance properties.
引用
收藏
页码：29 / +
页数：2
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