A venation-based leaf image classification scheme

Jin Kyu Park, Een Jun Hwang, Yunyoung Nam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Most content-based image retrieval systems use image features such as textures, colors, and shapes. However, in the case of leaf image, it is not appropriate to rely on color or texture features only because such features are similar in most leaves. In this paper, we propose a novel leaf image retrieval scheme which first analyzes leaf venation for leaf categorization and then extracts and utilizes shape feature to find similar ones from the categorized group in the database. The venation of a leaf corresponds to the blood vessel of organisms. Leaf venations are represented using points selected by the curvature scale scope corner detection method on the venation image, and categorized by calculating the density of feature points using non-parametric estimation density. We show its effectiveness by performing several experiments on the prototype system.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages416-428
Number of pages13
Volume4182 LNCS
Publication statusPublished - 2006 Nov 30
Event3rd Asia Information Retrieval Symposium, AIRS 2006 - Singapore, Singapore
Duration: 2006 Oct 162006 Oct 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4182 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd Asia Information Retrieval Symposium, AIRS 2006
CountrySingapore
CitySingapore
Period06/10/1606/10/18

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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  • Cite this

    Park, J. K., Hwang, E. J., & Nam, Y. (2006). A venation-based leaf image classification scheme. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4182 LNCS, pp. 416-428). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4182 LNCS).