AN OBJECT-ORIENTED SIMILARITY RETRIEVAL ALGORITHM FOR ICONIC IMAGE DATABASES

被引：5

作者：

CHEN, CY

CHANG, CC

机构：

[1] NATL CHUNG CHENG UNIV,INST COMP SCI & INFORMAT ENGN,CHIAYI 62107,TAIWAN

[2] NATL TSING HUA UNIV,INST COMP SCI,HSINCHU 30043,TAIWAN

[3] FENG CHIA UNIV,DEPT ELECTR,TAICHUNG 40724,TAIWAN

来源：

PATTERN RECOGNITION LETTERS | 1993年 / 14卷 / 06期

关键词：

2D STRING; LONGEST COMMON SUBSEQUENCE; IMAGE DATABASE;

D O I：

10.1016/0167-8655(93)90025-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new pictorial data structure which is a modification of the 2D string suggested by Chang et al. is introduced first. Then a new algorithm for similarity retrieval of images is proposed. It is seen that our proposed algorithm is more efficient than that proposed previously by Lee et al. for the case in which all the objects in each picture are distinct.

引用

页码：465 / 470

页数：6

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