Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval
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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.
KeywordsDirectional Binary Wavelet Patterns (DBWP) Local Binary Patterns (LBP) Image retrieval
This work was supported by the Ministry of Human Resource and Development India under grant MHR-02-23-200 (429). The authors would like to thank the anonymous reviewers for insightful comments and helpful suggestions to improve the quality, which have been incorporated in this manuscript.
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