Scale and rotation invariant texture features from the dual-tree complex wavelet transform

被引：0
|
作者：
Lo, EHS [1 ]
Pickering, M [1 ]
Frater, M [1 ]
Arnold, J [1 ]
机构：
[1] Univ New S Wales, Sch Informat Technol & Elect Engn, Australian Def Force Acad, Univ Coll, Canberra, ACT 2600, Australia
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：
Image segmentation can be viewed as the process of classifying regions in a Picture into groups with common properties (i.e. texture). A difficulty arising is that common texture can be classified differently when viewed at different scales and rotated viewpoints. This paper presents a feature vector based on the DT-CWT (dual-tree complex wavelet transform [1]) that is invariant to scale and rotation. The promising image segmentation results (without cleaning misclassified regions) demonstrate the suitability of this feature vector in representing texture.
引用
收藏
页码：227 / 230
页数：4
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