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Beskrivning
Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. Content-based image retrieval (CBIR) is an image search technique that complements the conventional text-based retrieval of images by using visual features, such as color, texture, and shape, as search criteria.
Dr. Aswini Kumar Samantaray received his B.Tech. and M.Tech. degree in electronics and communication engineering from Biju Patanaik University of Technology, Odisha, India in 2008 and 2012 respectively. He received his Ph.D. degree from National Institute of Technology Goa (NIT Goa), India in 2022. He worked as an Assistant Professor with the C. V. Raman College of Engineering from 2008 to 2018. He is currently working as an assistant professor with electronics and communication engineering, Vignan’s Foundation for Science, Tecchnology and Research, Guntur, India. His research interests include the design of wavelets and filter-banks, image processing, and FPGA accelerators. Dr. Amol D. Rahulkar received the B.E. degree in instrumentation engineering from the Shri Guru Gobind Singhji (SGGS) Institute of Engineering and Technology, Nanded, India, in 2000, the M.Tech. degree from the Indian Institute of Technology (IIT) Kharagpur, India, in 2002, and the Ph.D. degree from the SGGS Institute of Engineering and Technology, Nanded, affiliated to Swami Ramanand Teerth Marathwada University Nanded, India, in 2013. He is currently working as an Associate Professor with the Department of Electrical and Electronics Engineering, National Institute of Technology Goa (NIT Goa), India. His current research interests include the design of wavelets and filter-banks, digital signal processing, image processing, biometrics, FPGA accelerators, and soft-computing.
Innehållsförteckning
Content Based Medical Image Retrieval.- Fundamentals of Wavelet Filter Banks.- Fundamentals of Gabor Wavelet Filter Banks.- A Family of Multiplier Free Orthogonal Wavelet Filter Banks.- Design of Symmetric and Completely Dyadic db-4 Wavelet Filter Bank.- Design of Dyadic Gabor Wavelet Filter Banks.- Design of Adaptive Gabor Wavelet Filter Banks.