Improved skin segmentation for TV image enhancement, using color and texture features

B. Zafarifar, A. Martiniere, P.H.N. With, de

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

12 Citations (Scopus)
108 Downloads (Pure)

Abstract

Maintaining natural appearance for human face and skin areas is essential in TV image enhancement. High-end TV video processing chips include skin detectors for this purpose. This paper presents a technique for improved skin detection, using a trainable color feature and a multi-scale texture feature. Evaluation on a database of 173 manually annotated natural images shows that at a true positive rate of 90%, the proposed technique yields a false positive rate of 12%, as compared to 19% and 20% of two color-only skin detectors.
Original languageEnglish
Title of host publicationProceedings International Conference on Consumer Electronics (ICCE2010), 9-13 January 2010, Las Vegas, Nevada
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages373-374
ISBN (Print)978-1-4244-4314-7
DOIs
Publication statusPublished - 2010

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