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18 results on '"Jothin, R."'

1. Design of Energy-Efficient Approximate Arithmetic Circuits for Error Tolerant Medical Image Processing Applications

Author

Ahilan, A., Albert Raj, A., Gorantla, Anusha, Jothin, R., Shunmugathammal, M., Safdar, Ghazanfar Ali, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Jain, Shruti, editor, Marriwala, Nikhil, editor, Singh, Pushpendra, editor, Tripathi, C.C., editor, and Kumar, Dinesh, editor

Published
2024
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15. Detecting abnormality in medical images with thermal and RGB images

Author

Sudarvilizhi D, Selvaraj D, Rajeshwari R, Sreelatha P, Jothin R, and Bharath

Subjects
010309 optics, Computer science, business.industry, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, RGB color model, 020201 artificial intelligence & image processing, Computer vision, 02 engineering and technology, Artificial intelligence, Abnormality, business, 01 natural sciences
Abstract

Medical abnormalities in human body are often reflected by raise in temperature at various areas in the body. With the requirement of reliable non-invasive on the increase Infrared Thermal Image is an effective aiding in monitoring and diagnosing medical abnormalities. Existing research has applied Infrared Thermal Image effectively for various medical conditions like breast cancer screening, diabetes and peripheral vascular disorder, Risk Assessment and Treatment Monitoring. Thermal Image cameras are capable of capturing the body temperature variations, these temperature variations can lead to significant diagnosis in several areas ranging from simple flu caused by influenza virus to several conditions like diabetes, eye syndrome and thyroid to name a few. Heat distribution captured from Infrared Thermal Image by thermal cameras like Forward Looking Infrared Imaging (FLIR) with a sensitivity range of 0.10C and wide temperature ranging from - 100C to +1000C can produce good thermal images. This research suggests a non-expensive and non-obtrusive diagnostic procedure which utilizes thermal imaging for unexplored areas of applying thermal imaging and the possibility of extracting thermal variations with RGB images. To achieve the objective various image processing techniques like image preprocessing, selecting the Region of Interest (ROI), extraction by region segmentation, selective feature extraction and finally suitable classification of the relevant application selection are adopted. Results of the proposed method for detecting abnormality have been validated based on the temperature map histogram comparison from thermal image.

Published
2020

17. High Performance Error Tolerant Adders for Image Processing Applications.

Author

Jothin, R. and Vasanthanayaki, C.

Subjects
*IMAGE processing, *ENERGY consumption, *APPLICATION software
Abstract

In this paper, we proposed High Performance Error Tolerant Adders (HPETA) which have an efficient design and quality metrics for inexact computing applications. To achieve high performance, Multiplexer Based Approximate Full Adders (MBAFA) are proposed in the inaccurate part of the HPETA design. High speed, energy and area efficiency have been achieved by the critical path delay reduction and the number of gate-level logic reduction. The performances of the proposed MBAFA and HPETA are investigated by comparing its speed, area, power and accuracy parameters with those of other existing error tolerant adder structures. The investigation of these designs is performed in the Cadence Encounter software using the Application Specific Integration Circuits (ASIC) TSMC 90-nm technology library. From the Simulation results, the proposed MBAFA-I based HPETA-I adder exhibits high speed, area efficiency, low power consumption, less Area-Delay Product (ADP) and 56.25%, 47.98%, 37.58%, 34.03%, 39.32% lesser Power-Delay Product (PDP) than the existing conventional CSLA, SAET-CSLA, ETCSLA, HSETA, HSSSA, respectively. [ABSTRACT FROM AUTHOR]

Published
2021
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