A survey of shape analysis techniques

被引：637
作者：
Loncaric, S [1 ]
机构：
[1] Univ Zagreb, Fac Elect Engn & Comp, Dept Elect Syst & Informat Proc, Zagreb 10000, Croatia
来源：
PATTERN RECOGNITION | 1998年 / 31卷 / 08期
关键词：
shape analysis; shape description; image analysis; object recognition;
D O I：
10.1016/S0031-2023(97)00122-2
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 provides a review of shape analysis methods. Shape analysis methods play an important role in systems for object recognition, matching, registration, and analysis. Research in shape analysis has been motivated, in part, by studies of human visual form perception systems. Several theories of visual form perception are briefly mentioned. Shape analysis methods are classified into several groups. Classification is determined according to the use of shape boundary or interior, and according to the type of result. An overview of the most representative methods is presented. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：983 / 1001
页数：19
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