ABSTRACT
This chapter discusses an efficient multi-feature fusion-based hybrid framework for magnetic resonance imaging (MRI) medical image retrieval. Content-based image retrieval (CBIR) is one of the largest and most influential research fields. Content-based medical image retrieval (CBMIR) is one of the most essential applications of CBIR. The traditional concept-based image retrieval systems have more limitations for the retrieval of medical images from this immense database. This will direct various new systems for storage, organization, indexing, and retrieval of medical images using low-level contents. The chapter develops an efficient content-based medical image retrieval system, using low-level statistical features for the various organs in human body MRI scan images. The image-specific visual content can be general or domain explicit. The general visual content of an image comprises texture, shape, and color. Gabor wavelets-based texture feature extraction has been broadly applied to efficient CBMIR systems.
