Interactive Image Retrieval with Wavelet Features

  • Malay K. Kundu
  • Manish Chowdhury
  • Minakshi Banerjee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6744)

Abstract

This paper presents an iterative Content Based Image Retrival(CBIR) system with Relevance Feedback (RF), in which M-band wavelet features are used as representation of images. The pixels are clustered using Fuzzy C-Means (FCM) clustering algorithm to obtain an image signature and Earth Mover’s Distance (EMD) is used as a distance measure. Fuzzy entropy based feature evaluation mechanism is used for automatic computation of revised feature importance and similarity distance at the end of each iteration. The performance of the algorithm is tested on standard large multi-class image databases and compared with MPEG-7 visual features.

Keywords

Relevance Feedback Edge Histogram Descriptor Color Structure Descriptor Feature Evaluation Index 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Malay K. Kundu
    • 1
  • Manish Chowdhury
    • 1
  • Minakshi Banerjee
    • 2
  1. 1.Machine Intelligence UnitIndian Statistical InstituteKolkataIndia
  2. 2.RCC Institute of Information TechnologyKolkataIndia

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