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Content-based image retrieval using multiple shape descriptors

  • M. Sarfraz*
  • , A. Ridha
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

In this paper we investigate content-based image retrieval using various shape descriptors. The descriptors include 11 moment invariants, area ratios (3concentric ring based and 8-sector based) and simple shape descriptors (eccentricity, compactness, convexity, rectangularity, and solidity). The similarity measures used are Euclidean distance and Cosine correlation coefficient. For testing, 220 binary images from SQUID categorized into 12 image groups are used. Simple Shape Descriptors with Euclidean distance achieve the best average precision (0.593). Combining simple shape descriptors and area ratios, also using Euclidean distance as similarity measure, results in 3.29% improvement.

Original languageEnglish
Title of host publication2007 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2007
Pages730-737
Number of pages8
DOIs
StatePublished - 2007

Publication series

Name2007 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2007

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing

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