A Closed-form Algorithm to Shadow Segmentation using a Single Image
- Conference
- Location
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Wentworth Institute of Technology, Massachusetts
- Publication Date
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April 22, 2022
- Start Date
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April 22, 2022
- End Date
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April 23, 2022
- Page Count
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8
- DOI
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10.18260/1-2--42149
- Permanent URL
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https://peer.asee.org/42149
- Download Count
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354
Paper Authors
Michael G Joseph University of Bridgeport
BS and MS in Computer Science and Engineering
PhD student at the University of Bridgeport, Computer Science and Engineering
Khaled Elleithy University of Bridgeport
Dr. Elleithy is the Dean of the Collage of Engineering, Business and Education at the University of Bridgeport. He is a Distinguished Professor of Computer Science and Engineering. His research interests includes wireless sensor networks, mobile communications, network security, quantum computing, and formal approaches for design and verification. He has published more than three hundred fifty research papers in national / international journals and conferences in his areas of expertise. Dr. Elleithy is the editor or co-editor for 12 books published by Springer.
Dr. Elleithy received the B.Sc. degree in computer science and automatic control from Alexandria University in 1983, the MS Degree in computer networks from the same university in 1986, and the MS and Ph.D. degrees in computer science from The Center for Advanced Computer Studies at the University of Louisiana - Lafayette in 1988 and 1990, respectively.
Prof. Elleithy has more than 30 years of teaching experience. His teaching evaluations were distinguished in all the universities he joined. He is the recipient of the "Distinguished Professor of the Year", University of Bridgeport, academic year 2006-2007. He supervised hundreds of senior projects, MS theses and Ph.D. dissertations. He developed and introduced many new undergraduate/graduate courses. He also developed new teaching / research laboratories in his area of expertise. His students have won more than twenty prestigious national / international awards from IEEE, ACM, and ASEE.
Dr. Elleithy is a member of the technical program committees of many international conferences as recognition of his research qualifications. He served as a guest editor for several international journals. He was the chairperson of the International Conference on Industrial Electronics, Technology & Automation. Furthermore, he is the co-Chair and co-founder of the Annual International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering virtual conferences 2005 - 2014.
Dr. Elleithy is a member of several technical and honorary societies. He is a Senior Member of the IEEE computer society. He is a member of the Association of Computing Machinery (ACM) since 1990, member of ACM SIGARCH (Special Interest Group on Computer Architecture) since 1990, member of the honor society of Phi Kappa Phi University of South Western Louisiana Chapter since April 1989, member of IEEE Circuits & Systems society since 1988, member of the IEEE Computer Society since 1988, and a lifetime member of the Egyptian Engineering Syndicate since June 1983.
Abstract
Abstract—The presence of shadow in natural scenes continue to pose a challenge to computer vision algorithms. While there have been many proposed approaches to detect and segment shadow in natural scenes, these methods fail to do so in real-time without requiring a priori information. This paper presents a model that can decompose an image into the product of an illumination component L and a reflectance component R and use the reflectance component to segment the shadow region, all in real-time. This is done by exploiting the fact that light intensity has less effect on the reflectance of an image and by assuming there is a single point light source. Our method is highly effective in detecting shadows in an image with a surface material that exhibits both specular and diffuse reflectance properties.
Joseph, M. G., & Elleithy, K. (2022, April), A Closed-form Algorithm to Shadow Segmentation using a Single Image Paper presented at ASEE-NE 2022, Wentworth Institute of Technology, Massachusetts. 10.18260/1-2--42149
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