Interactive content based image retrieval using ripplet transform and fuzzy relevance feedback

  • Authors:
  • Manish Chowdhury;Sudeb Das;Malay Kumar Kundu

  • Affiliations:
  • Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India;Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

  • Venue:
  • PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
  • Year:
  • 2012

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Abstract

In this article, a novel content based image retrieval (CBIR) system based on a new Multiscale Geometric Analysis (MGA)-tool, called Ripplet Transform Type-I (RT) is presented. To improve the retrieval result, a fuzzy relevance feedback mechanism (F-RFM) is also implemented. Fuzzy entropy based feature evaluation mechanism is used for automatic computation of revised feature's importance and similarity distance at the end of each iteration. Experimental results on a large image database demonstrate the efficiency and effectiveness of the proposed CBIR system in the image retrieval paradigm