Segmentação de pele humana em imagens coloridas baseada em valores das médias da vizinhança em subimagens / Segmentation of human skin in colored images based on the average of neighborhoods in sub-images
AUTOR(ES)
João Marcelo Ribeiro
DATA DE PUBLICAÇÃO
2008
RESUMO
The segmentation of human skin, in colored images, has been studied broadly for the last years serving as foundation for many other studies as, for instance, the detection of faces. Among the countless applications of works related to the segmentation of human skin it is the one of localizing a certain person in places of great human concentration such as: avenues, bus terminals, airports, shopping centers and stadiums. Therefore, the need to obtain a system that classifies in an appropriate way the human skin became the main motivation for the development of this work. This way, a methodology to improve the segmentation of human skin in colored images through a more efficient algorithm is proposed. The algorithm is based on the average of neighborhoods whose limit values, for definition of the interval of equivalent color to the human skins, are obtained through an image pattern, generated in priori, with samples of human skin. This image is called "bedspread of remnants". The methodology has as base of comparison similar previous works, mainly the one developed by Kovac et al. (2003). The results show a superior performance of the proposed methodology.
ASSUNTO(S)
média de vizinhança neighborhood average subimagens resolução de imagens segmentation sub-images segmentação human skin image resolution pele humana
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