Leaf image retrieval with shape features

Zhiyong Wang, Zheru Chi, Dagan Feng, Qing Wang

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

52 Citations (Scopus)

Abstract

In this paper we present an efficient two-step approach of using a shape characterization function called centroid-contour distance curve and the object eccentricity (or elongation) for leaf image retrieval. Both the centroid-contour distance curve and the eccentricity of a leaf image are scale, rotation, and translation invariant after proper normalizations. In the frist step, the eccentricity is used to rank leaf images, and the top scored images are further ranked using the centroid-contour distance curve together with the eccentricity in the second step. A thinningbased method is used to locate start point(s) for reducing the matching time. Experimental results show that our approach can achieve good performance with a reasonable computational complexity.
Original languageEnglish
Title of host publicationAdvances in Visual Information Systems - 4th International Conference, VISUAL 2000, Proceedings
PublisherSpringer Verlag
Pages477-487
Number of pages11
ISBN (Print)3540411771
DOIs
Publication statusPublished - 1 Jan 2000
Event4th International Conference on Visual Information Systems, VISUAL 2000 - Lyon, France
Duration: 2 Nov 20004 Nov 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1929
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Visual Information Systems, VISUAL 2000
CountryFrance
CityLyon
Period2/11/004/11/00

Keywords

  • Centroid-contour distance
  • Content-based image retrieval
  • Leaf image processing
  • Shape representation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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