Translator Disclaimer
1 April 2008 Recall or precision-oriented strategies for binary classification of skin pixels
Author Affiliations +
Abstract
Skin detection is a preliminary step in many applications. We analyze some of the most frequently cited binary skin classifiers based on explicit color cluster definition and present possible strategies to improve their performance. In particular, we demonstrate how this can be accomplished by using genetic algorithms to redefine the cluster boundaries. We also show that the fitness function can be tuned to favor either recall or precision in pixel classification. Some combining strategies are then proposed to further improve the performance of these binary classifiers in terms of recall or precision. Finally, we show that, whatever the method or the strategy employed, the performance can be enhanced by preprocessing the images with a white balance algorithm. All the experiments reported here have been run on a large and heterogeneous image database.
©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
Francesca Gasparini, Silvia Corchs, and Raimondo Schettini "Recall or precision-oriented strategies for binary classification of skin pixels," Journal of Electronic Imaging 17(2), 023017 (1 April 2008). https://doi.org/10.1117/1.2916715
Published: 1 April 2008
JOURNAL ARTICLE
15 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

A weight based genetic algorithm for selecting views
Proceedings of SPIE (March 20 2013)
Unauthorized access identification in restricted areas
Proceedings of SPIE (July 30 1998)
Fast skin color detector for face extraction
Proceedings of SPIE (February 25 2005)
Skin segmentation using multiple thresholding
Proceedings of SPIE (January 16 2006)
Detecting low-resolution faces in video
Proceedings of SPIE (January 19 2009)

Back to Top