Wednesday 24th of April 2024
 

Content Based Image Retrieval System for Medical Databases (CBIR-MD) - Lucratively tested on Endoscopy, Dental and Skull Images


Ashish Oberoi and Manpreet Singh

In medical field, digital images are produced in ever increasing quantities and used for diagnostics and therapy. The swift expansion of digital medical images has enforced the requirement of efficient Content-based image retrieval system for retrieving medical images that are visually similar to query image. Such systems provide great assistance to doctors in clinical care and research. In this paper, we have designed a Content Based Image Retrieval System for Medical Databases (CBIR-MD) based on various techniques like Fourier descriptor, Euclidean distance, Haar Wavelet transformation, Canberra distance and analyzed its performance on Endoscopy, Dental and Skull images.

Keywords: CBIR-MD, Fourier Descriptor (FD), Haar Wavelet (HW), Euclidean Distance (ED), Canberra Distance (CD).

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ABOUT THE AUTHORS

Ashish Oberoi
Ashish Oberoi is presently serving as Asst. Professor in Department of Computer Science and Engineering , M. M. Engineering College, M.M. University, Mullana (Ambala), India. He obtained his M.Tech (CSE) from Kurukshetra University Kurukshetra and pursing PhD in the field of digital Image processing from M.M. University. He has about 6 years of teaching experience. He has published 16 research papers in International and Indian Journals and Conferences.

Manpreet Singh
Dr. Manpreet Singh is presently serving as Professor and Head, Department of Computer Science and Engineering , M. M. Engineering College, M.M. University, Mullana (Ambala), India. He has about 13 years of experience in teaching and research. He has guided two PhD research scholars and four others are under his supervision. He has published 30 research papers in International and Indian Journals and Conferences.


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