Image classification in CBIR systems with colour histogram features

R. Vijaya Arjunan, V. Vijaya Kumar

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

5 Citations (Scopus)

Abstract

Content based image retrieval (CBIR) refers to the ability to retrieve images on the basis of image content. In our work, we describe an approach to CBIR for various database images that relies on human input machine learning and computer vision. More specifically we apply expert level human interaction for solving that aspect of the problem and we employ machine learning algorithms to allow the system to be adapted to new image domains. We present empirical results for the domain of high resolution computed image of flowers. Our results illustrate the efficacy of loop approach to image characterization and the ability of our approach to adapt the retrieval process image domain through the application of machine learning algorithms.

Original languageEnglish
Title of host publicationARTCom 2009 - International Conference on Advances in Recent Technologies in Communication and Computing
Pages593-595
Number of pages3
DOIs
Publication statusPublished - 2009
EventARTCom 2009 - International Conference on Advances in Recent Technologies in Communication and Computing - Kottayam, Kerala, India
Duration: 27-10-200928-10-2009

Publication series

NameARTCom 2009 - International Conference on Advances in Recent Technologies in Communication and Computing

Conference

ConferenceARTCom 2009 - International Conference on Advances in Recent Technologies in Communication and Computing
CountryIndia
CityKottayam, Kerala
Period27-10-0928-10-09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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