Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/243597
Type: Artigo de evento
Title: Human Skin Segmentation Improved By Saliency Detection
Author: Santos
Anderson; Pedrini
Helio
Abstract: Several applications demand the segmentation of images in skin and non-skin regions, such as face recognition, hand gesture detection, nudity recognition, among others. Human skin detection is still a challenging task since it depends on inumerous factors, for instance, illumination conditions, ethnicity variation and image resolution. This work proposes and analyzes a skin segmentation method improved by saliency detection. Experimental results on public data sets demonstrate significant improvement of the proposed skin segmentation method over state-of-the-art approaches.
Subject: Region Detection
Country: BERLIN
Editor: SPRINGER-VERLAG BERLIN
Citation: Human Skin Segmentation Improved By Saliency Detection. Springer-verlag Berlin, v. 9257, p. 146-157 2015.
Rights: fechado
Identifier DOI: 10.1007/978-3-319-23117-4_13
Address: http://link.springer.com/chapter/10.1007%2F978-3-319-23117-4_13
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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