A dynamic threshold approach for skin tone detection in colour images

Yogarajah, PratheepanSchool of Computing and Intelligent Systems (SCIS), University of Ulster, BT48 7JL, United Kingdom (författare)

This paper presents a novel dynamic threshold approach to discriminate skin pixels and non-skin pixels in colour images. Fixed decision boundaries (or fixed threshold) classification approaches are successfully applied to detect human skin tone in colour images. These fixed thresholds mostly failed in two situations as they only search for a certain skin colour range: • any non-skin object may be classified as skin if non-skin objects's colour values belong to fixed threshold range • any true skin may be mistakenly classified as non-skin if the skin colour values do not belong to fixed threshold range. Therefore in this paper, instead of predefined fixed thresholds, novel online learned dynamic thresholds are used to overcome the above drawbacks. The experimental results show that our method is robust in overcoming these drawbacks. © 2012 Inderscience Enterprises Ltd.

Condell, JoanSchool of Computing and Intelligent Systems (SCIS), University of Ulster, BT48 7JL, United Kingdom (författare)
Curran, KevinSchool of Computing and Intelligent Systems (SCIS), University of Ulster, BT48 7JL, United Kingdom (författare)
McKevitt, PaulSchool of Computing and Intelligent Systems (SCIS), University of Ulster, BT48 7JL, United Kingdom (författare)
Cheddad, AbbasUmeå universitet,Umeå centrum för molekylär medicin (UCMM)(Swepub:umu)abch0002 (författare)
School of Computing and Intelligent Systems (SCIS), University of Ulster, BT48 7JL, United KingdomUmeå centrum för molekylär medicin (UCMM) (creator_code:org_t)

Ingår i:International Journal of Biometrics (IJBM): InderScience Publishers4:1, s. 38-551755-83011755-831X

Av författaren/redakt...: Yogarajah, Prath ...; Condell, Joan; Curran, Kevin; McKevitt, Paul; Cheddad, Abbas

Om ämnet

MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Klinisk medicin; och Dermatologi och ...

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