Image retrieval by Kekre's transform applied on each row of Walsh transformed VQ codebook

  • Authors:
  • H. B. Kekre;T. K. Sarode;S. D. Thepade

  • Affiliations:
  • MPSTME, SVKM's NMIMS, Vileparle (W), Mumbai;MPSTME, SVKM's NMIMS, TSEC, Bandra (W), Mumbai;MPSTME, SVKM's NMIMS, Vileparle (W), Mumbai, India

  • Venue:
  • Proceedings of the International Conference and Workshop on Emerging Trends in Technology
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

The new technique for image retrieval using the color-texture features extracted from images based on vector quantization with Kekre's fast codebook generation is proposed. This gives better discrimination capability for CBIR. Here the database image is divided into 2x2 pixel windows to obtain 12 color descriptors per window (Red, Green and Blue per pixel) to form a vector. Collection of all such vectors is a training set. Then the Kekre's Fast Codebook Generation (KFCG) is applied on this set to get 16 codevectors. The Walsh transform is applied on each column of the codebook, followed by Kekre's transform applied on each row of the Walsh transformed codebook. This transform vector then is used as the image signature (feature vector) for image retrieval. The method takes lesser computations as compared to conventional Walsh applied on complete image. The method gives the color-texture features of the image database at reduced feature set size. Proposed method gives better precision and recall as compared to full Walsh based CBIR. Proposed method avoids resizing of images which is required for any transform based feature extraction method.