Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval

  • Authors:
  • Subrahmanyam Murala;R. P. Maheshwari;R. Balasubramanian

  • Affiliations:
  • Instrumentation and Signal Processing Laboratory, Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India 247667;Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India 247667;Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India 247667

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2012

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Abstract

A new algorithm for medical image retrieval is presented in the paper. An 8-bit grayscale image is divided into eight binary bit-planes, and then binary wavelet transform (BWT) which is similar to the lifting scheme in real wavelet transform (RWT) is performed on each bitplane to extract the multi-resolution binary images. The local binary pattern (LBP) features are extracted from the resultant BWT sub-bands. Three experiments have been carried out for proving the effectiveness of the proposed algorithm. Out of which two are meant for medical image retrieval and one for face retrieval. It is further mentioned that the database considered for three experiments are OASIS magnetic resonance imaging (MRI) database, NEMA computer tomography (CT) database and PolyU-NIRFD face database. The results after investigation shows a significant improvement in terms of their evaluation measures as compared to LBP and LBP with Gabor transform.