Publication Type : Conference Proceedings
Publisher : 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
Source : 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (2020)
Url : https://ieeexplore.ieee.org/document/9225563
Keywords : Automatic thresholding, Brain, Brain image, clinical health care, compressing resolution, Compression techniques, Data compression, Extraction techniques, Feature extraction, Health care, high resolution images, Hough transform, Hough transforms, image classification, image extraction, Image resolution, investment, Manuals, MATLAB, Medical Image Processing, Medical images, modified Hough transformation, ROI, ROI classifications, ROI extraction, Shape, transference, Transforms, Tumors, unwanted image points
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Year : 2020
Abstract : Region of interest (ROI) plays major role in the field of Radiology. It's a field of medicine that characterized for clinical health care and transmission of medical images and videos. The aim of ROI extraction is to decide which part of the brain image is affected. For transference of high resolution images, good compression techniques are needed. This is an important aspect in compressing resolution of images by avoiding process of unwanted image points. It provides better extraction techniques for better image extraction. In this paper, the modified Hough transformation technique which is the combination of both manual and automatic techniques is used. This technique was compared with different other techniques and provided good results. Some of the ROI classifications are discussed in literature review and implemented free-hand technique and automatic technique for extraction of important region in images.
Cite this Research Publication : N. Oruganti and Dr. Tripty Singh, “Modified Hough Transformation for ROI”, 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT). 2020.