Article
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Image Segmentation for Human Skin Detection
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Version 1
: Received: 22 October 2022 / Approved: 24 October 2022 / Online: 24 October 2022 (12:50:24 CEST)
A peer-reviewed article of this Preprint also exists.
Leite, M.; Parreira, W.D.; Fernandes, A.M.R.; Leithardt, V.R.Q. Image Segmentation for Human Skin Detection. Appl. Sci. 2022, 12, 12140. Leite, M.; Parreira, W.D.; Fernandes, A.M.R.; Leithardt, V.R.Q. Image Segmentation for Human Skin Detection. Appl. Sci. 2022, 12, 12140.
Abstract
A single paragraph of about 200 words maximum. For research articles, abstracts should give a pertinent overview of the work. We strongly encourage authors to use the following style of structured abstracts, but without headings: (1) Background: place the question addressed in a broad context and highlight the purpose of the study; (2) Methods: describe briefly the main methods or treatments applied; (3) Results: summarize the article’s main findings; (4) Conclusions: indicate the main conclusions or interpretations. The abstract should be an objective representation of the article, it must not contain results which are not presented and substantiated in the main text and should not exaggerate the main conclusions.
Keywords
skin segmentation; skin detection; computer vision; digital image processing
Subject
Computer Science and Mathematics, Computer Vision and Graphics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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