Region-based shape representation and similarity measure suitable for content-based image retrieval

被引：114

作者：

Lu, GJ ^{[1
]}

Sajjanhar, A

机构：

[1] Monash Univ, Gippsland Sch Comp & Informat Technol, Churchill, Vic 3842, Australia

[2] Kent Ridge Digital Labs, Singapore 117685, Singapore

来源：

MULTIMEDIA SYSTEMS | 1999年 / 7卷 / 02期

关键词：

shape representation; shape similarity measure; pattern recognition; image retrieval;

D O I：

10.1007/s005300050119

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A region-based approach to shape representation and similarity measure is presented. The shape representation is invariant to translation, scale and rotation. The similarity measure conforms to human similarity perception, i.e., perceptually similar shapes have high similarity measure. An experimental shape retrieval system has been developed and its performance has been studied. The shape retrieval performance of the proposed approach is better than that of the more established Fourier descriptor method.

引用

页码：165 / 174

页数：10

共 23 条

[1]

[Anonymous], 1993, Digital Image Processing Algorithms

[2] TRADEMARK SHAPES DESCRIPTION BY STRING-MATCHING TECHNIQUES [J].

CORTELAZZO, G ;

MIAN, GA ;

VEZZI, G ;

ZAMPERONI, P .

PATTERN RECOGNITION, 1994, 27 (08) :1005-1018

[3]

FRAKES W, 1992, INFORMATION RETRIEVA

[4]

Gonzalez RC, 1987, Digital Image Processing, V2nd

[5]

JAGADISH HV, 1991, P ACM SIGMOD INT C M, P208

[6]

JAIN AK, 1995, 2 AS C COMP VIS 5 8, P529

[7]

JAIN R, 1993, P SOC PHOTO-OPT INS, V1908, P198, DOI 10.1117/12.143650

[8]

JAIN R, 1995, NSF ARPA WORKSH VIS

[9] AN EXPERIMENTAL COMPARISON OF AUTOREGRESSIVE AND FOURIER-BASED DESCRIPTORS IN 2D SHAPE CLASSIFICATION [J].

KAUPPINEN, H ;

SEPPANEN, T ;

PIETIKAINEN, M .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1995, 17 (02) :201-207

[10]

LAM CP, 1995, 2 AS C COMP VIS 5 8, P214

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