Content-based structural recognition for flower image classification

Siu Yeung Cho

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

9 Citations (Scopus)

Abstract

Computer-aided flower identification is a very useful tool for plant species identification aspect. In this paper, a study was made on a development of content based image retrieval system to characterize flower images efficiently. In this system, a method of structural pattern recognition based on probabilistic based recursive model is proposed to classify flower images. Experimental results show that the developed system can yield promising results for flower image retrieval.

Original languageEnglish
Title of host publicationProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Pages541-546
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 - Singapore, Singapore
Duration: 18 Jul 201220 Jul 2012

Publication series

NameProceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Conference

Conference2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
Country/TerritorySingapore
CitySingapore
Period18/07/1220/07/12

Keywords

  • image classification
  • neural network
  • structural recognition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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