Abstract
This paper addresses the problem of edge detection to overcome the artifacts factors mainly by means of visual factors which appear on traditional edge detection methods using Sobel and Prewitt Fuzzy Inference System (FIS). In this research, we proposed a framework for Sobel and Prewitt FIS to enhance the edge detection process as compared to the traditional Sobel and Prewitt filter operations. Results show a considerable improvement on edge detection process, especially on the diversely varying intensity properties’ images.
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The authors would like to thank the management of Sur University College for providing the necessary support while carrying out this research in a successful manner.
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Al-Jarrah, A.A., Bremananth, R. (2022). An Efficient Edge Localization Using Sobel and Prewitt Fuzzy Inference System (FIS). In: Sharma, H., Vyas, V.K., Pandey, R.K., Prasad, M. (eds) Proceedings of the International Conference on Intelligent Vision and Computing (ICIVC 2021). ICIVC 2021. Proceedings in Adaptation, Learning and Optimization, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-030-97196-0_45
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DOI: https://doi.org/10.1007/978-3-030-97196-0_45
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