dc.creator | BONVENTI JR., Waldemar | |
dc.creator | COSTA, Anna Helena Reali | |
dc.date.accessioned | 2012-10-19T01:39:17Z | |
dc.date.accessioned | 2018-07-04T14:49:27Z | |
dc.date.available | 2012-10-19T01:39:17Z | |
dc.date.available | 2018-07-04T14:49:27Z | |
dc.date.created | 2012-10-19T01:39:17Z | |
dc.date.issued | 2008 | |
dc.identifier | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, v.22, n.6, p.1241-1265, 2008 | |
dc.identifier | 0218-0014 | |
dc.identifier | http://producao.usp.br/handle/BDPI/18145 | |
dc.identifier | 10.1142/S0218001408006739 | |
dc.identifier | http://dx.doi.org/10.1142/S0218001408006739 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1614941 | |
dc.description.abstract | In this paper, a framework for detection of human skin in digital images is proposed. This framework is composed of a training phase and a detection phase. A skin class model is learned during the training phase by processing several training images in a hybrid and incremental fuzzy learning scheme. This scheme combines unsupervised-and supervised-learning: unsupervised, by fuzzy clustering, to obtain clusters of color groups from training images; and supervised to select groups that represent skin color. At the end of the training phase, aggregation operators are used to provide combinations of selected groups into a skin model. In the detection phase, the learned skin model is used to detect human skin in an efficient way. Experimental results show robust and accurate human skin detection performed by the proposed framework. | |
dc.language | eng | |
dc.publisher | WORLD SCIENTIFIC PUBL CO PTE LTD | |
dc.relation | International Journal of Pattern Recognition and Artificial Intelligence | |
dc.rights | Copyright WORLD SCIENTIFIC PUBL CO PTE LTD | |
dc.rights | restrictedAccess | |
dc.subject | Fuzzy learning | |
dc.subject | color classification | |
dc.subject | skin detection | |
dc.subject | aggregation operators | |
dc.title | HYBRID AND INCREMENTAL FUZZY LEARNING FOR HUMAN SKIN DETECTION | |
dc.type | Artículos de revistas | |