CLUMP SPLITTING THROUGH CONCAVITY ANALYSIS

被引：35

作者：

YEO, TTE

JIN, XC

ONG, SH

JAASOORIAH

SINNIAH, R

机构：

[1] NATL UNIV SINGAPORE,DEPT ELECT ENGN,10 KENT RIDGE CRESCENT,SINGAPORE 0511,SINGAPORE

[2] UNIV MELBOURNE,DEPT COMP SCI,PARKVILLE,VIC 3052,AUSTRALIA

来源：

PATTERN RECOGNITION LETTERS | 1994年 / 15卷 / 10期

关键词：

CLUMP DECOMPOSITION; CLUMP SPLITTING; CONCAVITY MEASURES; OPTIMAL DISSECTION; AUTOMATED MICROSCOPY;

D O I：

10.1016/0167-8655(94)90033-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a novel method of decomposing digital binary clumps into constituent convex parts. The algorithm is based on the analysis of concavities to determine where splitting should occur. Two relative concavity measures, concavity degree and concavity weight, are also defined.

引用

页码：1013 / 1018

页数：6

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