Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper

-

August Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the August 2021 Edition of the journal. The last date of research paper submission is July 15, 2021.

Comparison between YCbCr Color Space and CIELab Color Space for Skin Color Segmentation

Amanpreet Kaur, B. V Kranthi Published in Pattern Recognition

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450521
Download full text
  1. Amanpreet Kaur and B v Kranthi. Article: Comparison between YCbCr Color Space and CIELab Color Space for Skin Color Segmentation. International Journal of Applied Information Systems 3(4):30-33, July 2012. BibTeX

    @article{key:article,
    	author = "Amanpreet Kaur and B.v Kranthi",
    	title = "Article: Comparison between YCbCr Color Space and CIELab Color Space for Skin Color Segmentation",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 3,
    	number = 4,
    	pages = "30-33",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation under varying lighting conditions. Experimental results show that CIELab color space is better than other color space. It can improve the performance of face segmentation under poor or strong lighting conditions.

Reference

  1. Vladimir Vezhnevets, Vassili Sazonov, and Alla Andreeva,2003. "A Survey on Pixel-Based Skin Color Detection Technique",In Proceedings of the Graphi Conference, pp. 85-92.
  2. K. M. Lam and H. Yan, 1998. "An analytic-to-holistic approach for face recognition based on a single frontal view", IEEE Trans. on Pattern Anal. and Mach. Intell. 20, pp. 673-686.
  3. K. H. Lin, Baofeng Guo, K. M. Lam and W. C. Siu. 2001. "Human face recognition using a spatially weighted modified Hausdorff distance", Proceedings of 2001. International Symposium on Intelligent Multimedia, Video and Speech Processing, pp. 477-480.
  4. Shuying Zhao and Li Shen, Wenjun Tan, 2010. " A Method of Dynamic Hand Gesture Detection Based on Local Background Updates and Skin Color Model", International Conference on Computer Application and System Modeling, pp. 657—660.
  5. Furkan Isikdogan and Songul Albayrak, 2010. "Automatic Recognition of Turkish Finger Spelling", pp. 264-270, IEEE.
  6. Jun-ho An and Kwang-Seok Hong, 2011. "Finger gesture based mobile user interface using a real facing camera", pp. 303-304, IEEE International Conference on Consumer Electronics (ICCE).
  7. J. Yang, W. Lu and A. Waibel, 1998. " Skin-color modeling and adaptation", ACCV98.
  8. P. Kakumanu, S. Makrogiannis and N. Bourbakis, 2006. "A survey of skin-color modeling and detection methods". The journal of the pattern recognition society.
  9. Son Lam Phung, Abdesselam Bouzerdoum, and Douglas Chai, 2005. "Skin segmentation using color pixel classification: analysis and comparison", VOL. 27, NO. 1, IEEE.
  10. Sanjay Kr. Singh, D. S. Chauhan, Mayank Vatsa and Richa Singh. 2003. "A Robust Skin Color Based Face Detection Algorithm", Tamkang Journal of Science and Engineering, Vol. 6, No. 4, pp. 227-234.
  11. Jorge Alberto marcial basilio, Gualberto Aguilar torres, Gabriel Sanchez perez, Karina toscano medina and Hector M. Perez meana, "Explicit image detection using YCbCr space color model as skin Detection", Applications of mathematics and computer engineering.
  12. Mohammad Saber Iraji and Ali Yavari . 2011. "Skin Color Segmentation in Fuzzy YCBCR Color Space with the Mamdani Inference", American Journal of Scientific Research, ISSN 1450-223X Issue July (2011), pp. 131-137.
  13. D. Brown, I. Craw and J. Lewthwaite, 2001. "A SOM based approach to skin detection with application in real time systems", BMVC01.
  14. Michael Wirth and Denis Nikitenko . 2010. "The effect of colour space on image sharpening algorithms", Canadian Conference Computer and Robot Vision, IEEE, pp. 79-85.
  15. Prof. Dr. Klaus Richter, BAM and TU Berlin, 2006. "Symmetric Colour Vision Model, CIELAB and Colour Information Technology", Federal Institute for Materials Research and Testing (BAM), pp. 1-2.

Keywords

YCbCr color space, CIELab Color Space, Skin Color Segmentation, Morphological Operation