Paper
26 February 2010 A multi-cue-based algorithm for skin detection under varying illumination conditions
Fangwen Zhai, Zehong Yang, Yixu Song, Peifa Jia
Author Affiliations +
Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75461C (2010) https://doi.org/10.1117/12.852411
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
In this paper, we propose a new approach for skin detection in images taken of different people under various illumination conditions utilizing colors and image segmentation based on edge and region integration. The algorithm incorporates vector-based color edge detection, color quantization, and a new kind of region growing. We achieve satisfactory results that most skin areas are detected correctly and efficiently. Our main contribution lies in the combination of multiple cues and fusion of skin detection and image segmentation.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fangwen Zhai, Zehong Yang, Yixu Song, and Peifa Jia "A multi-cue-based algorithm for skin detection under varying illumination conditions", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75461C (26 February 2010); https://doi.org/10.1117/12.852411
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Skin

Image segmentation

Sensors

RGB color model

Detection and tracking algorithms

Image processing algorithms and systems

Edge detection

RELATED CONTENT

Improved boundary tracking by off-boundary detection
Proceedings of SPIE (November 08 2012)
Automatic identification of vehicle license plates
Proceedings of SPIE (September 24 2007)
Real-time face tracking
Proceedings of SPIE (October 06 1998)

Back to Top