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A dynamic threshold approach for skin segmentation in color images

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Yogarajah, P, Condell, J, Curran, K, Cheddad, A and McKevitt, P (2010) A dynamic threshold approach for skin segmentation in color images. In: Proc. of the IEEE 17th International Conference on Image Processing (ICIP-10), Hong Kong Convention and Exhibition Centre, Hong Kong, China. IEEE Signal Processing Society. 4 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5652798

DOI: 10.1109/ICIP.2010.5652798

Abstract

This paper presents a novel dynamic threshold approach to discriminate skin pixels and non-skin pixels in color images.Fixed decision boundaries (or fixed threshold) classification approaches are successfully applied to segment human skin.These fixed thresholds mostly failed in two situations as they only search for a certain skin color range: 1) any non-skin object may be classified as skin if non-skin objects’s color values belong to fixed threshold range. 2) any true skin may be mistakenly classified as non-skin if that skin color 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.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Arts
Faculty of Computing & Engineering
Faculty of Arts > School of Creative Arts and Technologies
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:21363
Deposited By:Professor Paul McKevitt
Deposited On:13 Mar 2012 12:10
Last Modified:13 Mar 2012 12:10

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