A novel shape-based image classification method by featuring radius histogram of dilating discs filled into regular and irregular shapes

Xiaoyu Zhao, Chi Xu, Zheru Chi, Dagan Feng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


In this paper, a novel feature for shape-based image classification is proposed, in which a set of randomly dilating discs are distributed on an unknown regular or irregular shape, and the radius histogram of discs is used to represent the target shape. By such doing, a shape can be modeled by the radius histogram. The proposed feature is rather effective for shape retrieval with rotation and scaling invariance. The proposed feature is particularly effective in the retrieval of string-linked objects in which conventional approaches may fail badly. Experimental results on seven shapes and string-linked objects show that our proposed new feature is very effective in shape classification and shape-based image retrieval.
Original languageEnglish
Title of host publicationNeural Information Processing
Subtitle of host publicationTheory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings
Number of pages8
EditionPART 1
Publication statusPublished - 21 Dec 2010
Event17th International Conference on Neural Information Processing, ICONIP 2010 - Sydney, NSW, Australia
Duration: 22 Nov 201025 Nov 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6443 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Neural Information Processing, ICONIP 2010
CitySydney, NSW


  • dilating discs
  • radius histogram
  • shape classification
  • shape feature
  • shape-based image retrieval

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this