Estudio comparativo de algoritmos de segmentación de piel usando atributos de color

This article analyzes a set of methods for processing images of people for skin segmentation. The Jochen Triesch Static Hand Posture Database [9] provides a wide range of skin tones obtained from people of different ages and breeds. The skin detection task on images give face to distinct challenges, due to various factors like: ilumination variations, environment factors and background. In this paper we show the results obtained in developing segmentation algorithms based on different heuristic and probabilistic techniques using RGB color space.