AN EFFICIENT ALGORITHM FOR COMPUTATION OF SHAPE MOMENTS FROM RUN-LENGTH CODES OR CHAIN CODES

被引:34
作者
DAI, M
BAYLOU, P
NAJIM, M
机构
[1] UNIV BORDEAUX 1,ENSERB,EQUIPE SIGNAL & IMAGE,351 COURS DE LA LIBERAT,F-33405 TALENCE,FRANCE
[2] NW UNIV XIAN,CTR COMP,XIAN,PEOPLES R CHINA
关键词
PATTERN RECOGNITION; OBJECT ORIENTATION; SHAPE ANALYSIS; MOMENTS; CENTRAL MOMENTS; MOMENT INVARIANTS; FAST ALGORITHMS;
D O I
10.1016/0031-3203(92)90015-B
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Moments are very useful for shape analysis. Zero- to third-order moments have been used for computer vision applications such as shape recognition and orientation. They can serve for composition of the well-known moment invariants used as desirable features as well as for the detection of the location and the principal axis direction of a shape. The shape is often represented by a binary image and its moments can be obtained by use of fast algorithms considering the shape as a discrete point array. In this paper a new algorithm based on the double-integral formulation is presented. The shape is considered as a continuous region and the contribution of boundary points is used for fast computation of shape moments. This method can be used to calculate moments from either the run-length codes or the chain codes of shape.
引用
收藏
页码:1119 / 1128
页数:10
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