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Artificial bee colony (ABC) algorithm and fuzzy based discriminative binary descriptor for partial duplicate medical image search in health care applications
2018
Biomedical Research
Objective: To determine the duplicate search of medical images in health care industry to improve treatment and diagnosis of Brain Tumor (BR). Methods: Medical image duplication search was treated in the present work. Fuzzy Sigmoid Kernel (FSK)-Subspace Clustering (SC)-Edge Scale-Invariant Feature Transform algorithm (FSK-SC-ESIFT) algorithm is presented for partial duplicate search of medical images. It contains five major steps such as deblurring, discovery of steady corner points, map
doi:10.4066/biomedicalresearch.29-17-3426
fatcat:2kum4y634zgqfadr32lfi24elu