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http://dx.doi.org/10.5762/KAIS.2020.21.12.672

Extraction of Skin Regions through Filtering-based Noise Removal  

Jang, Seok-Woo (Department of Software, Anyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.12, 2020 , pp. 672-678 More about this Journal
Abstract
Ultra-high-speed images that accurately depict the minute movements of objects have become common as low-cost and high-performance cameras that can film at high speeds have emerged. In this paper, the proposed method removes unexpected noise contained in images after input at high speed, and then extracts an area of interest that can represent personal information, such as skin areas, from the image in which noise has been removed. In this paper, noise generated by abnormal electrical signals is removed by applying bilateral filters. A color model created through pre-learning is then used to extract the area of interest that represents the personal information contained within the image. Experimental results show that the introduced algorithms remove noise from high-speed images and then extract the area of interest robustly. The approach presented in this paper is expected to be useful in various applications related to computer vision, such as image preprocessing, noise elimination, tracking and monitoring of target areas, etc.
Keywords
Region of Interest; Preprocessing; Noise Removal; Bilateral Filter; High-Speed Image;
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