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- W124180675 abstract "The detection of the human skin has proven to be a useful and robust technique incomputer vision for detecting, segmenting, and tracking faces and hands. It is also usedin many different applications in motion capture, human-computer interaction, accesscontrol, surveillance, and content-based image retrieval and indexing of imagedatabases.To build a decision rule that will discriminate between skin and non-skin pixels, a metrichas to be introduced to measure the distance of the pixel color to skin tone. The skincolor models define the type of this metric.An improved chromatic skin color model is discussed in this thesis. The model detectedthe human skin in the Bitmap images with JPEG format. A threshold method and 2DGaussian model were used to improve the accuracy of the skin region detected.Good results have been achieved by using the proposed model. Results show that themodel detects the human skin with an excellent detection rates for over than 90%. Thisresult shows that this model is more appropriate to avoid false detection areas, whilethere remains a high degree of correct detection.This model has been implemented using the MATLAB software, which able to improvethe performance and accuracy of skin detection models." @default.
- W124180675 created "2016-06-24" @default.
- W124180675 creator A5006274985 @default.
- W124180675 date "2005-06-01" @default.
- W124180675 modified "2023-09-27" @default.
- W124180675 title "An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images" @default.
- W124180675 hasPublicationYear "2005" @default.
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