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Human colour skin detection in CMYK colour space

Human colour skin detection in CMYK colour space

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Fast detection of skin colour in images is an important task for computer vision and image processing. In this study, a new thresholding method for detecting skin colour has been introduced. The proposed method uses CMYK colour space, which, although not popular in image processing, especially in skin detecting algorithm, turned out to be a good choice. Its properties seem the most appropriate for the task of skin colour detection. Some experiments have been worked out using Compaq Database – a large database of skin and non-skin photos. A comparison of the new method against well-known thresholding methods in RGB, YCbCr and HSV spaces were prepared. In this comparison, the proposed method in CMYK colour space wins. This good result was further improved using a simple cascade algorithm, where two spaces RGB and CMYK were used.

References

    1. 1)
    2. 2)
    3. 3)
      • 3. Vezhnevets, V., Sazonov, V., Andreeva, A.: ‘A survey on pixel-based skin color detection techniques’. Proc. Graphicon 2003, Moscow, Russia, September 2003, pp. 8592.
    4. 4)
      • 4. Kawulok, M., Nalepa, J., Kawulok, J.: ‘Skin detection and segmentation in color images’. Advances in Low-Level Color Image Processing Lecture Notes in Computational Vision and Biomechanics, Springer, 2014, vol. 11, pp. 329366.
    5. 5)
      • 5. Basilio, J.A.M., Torres, G.A., Pérez, G.S., Medina, L.K.T., Meana, H.M.P.: ‘Explicit image detection using YCbCr space color model as skin detection’. Proc. 2011 American Conf. on Applied Mathematics and the Fifth WSEAS Int. Conf. on Computer Engineering and Applications, World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA, 2011, pp. 123128.
    6. 6)
      • 6. Mahmoud, T.M.: ‘A new fast skin color detection technique’, World Acad. Sci. Eng. Technol., 2008, (43), pp. 501505.
    7. 7)
      • 7. Yang, G., Li, H., Zhang, L., Cao, Y.: ‘Research on a skin color detection algorithm based on self-adaptive skin color model’. Proc. 2010 Int. Conf. on Communications and Intelligence Information Security, 2010, pp. 266270.
    8. 8)
      • 8. Chai, D., Ngan, K.N.: ‘Automatic face location for videophone images’. Proc. of Digital Signal Processing Applications, Perth, Australia, 1996, pp. 137140.
    9. 9)
    10. 10)
      • 10. Aldasouqi, I., Hassan, M.: ‘Human face detection system using HSV’. Proc. Ninth WSEAS Int. Conf. on Circuits, Systems, Electronics, Control & Signal Processing, World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA, 2010, pp. 1316.
    11. 11)
    12. 12)
      • 12. Oliveira, V.A., Conci, A.: ‘Skin detection using HSV color space’. Proc. XXII Brazilian Symp. on Computer Graphics and Image Processing, Rio de Janeiro, Brazilia, 2009.
    13. 13)
    14. 14)
      • 14. Doukim, C., Dargham, J.A., Chekima, A.: ‘Comparison of three colour spaces in skin detection’. Proc. BORNEO SCIENCE 24, March 2009, pp. 7581.
    15. 15)
      • 15. Rahman, N.A., Wei, K.C., See, J.: ‘RGB-H-CbCr skin colour model for human face detection’. Proc. the MMU Int. Symp. on Information & Communications Technologies, 2006.
    16. 16)
      • 16. Singh, S.K., Chauhan, D.S., Vatsa, M., Singh, R.: ‘A robust skin color based face detection algorithm’, Tamkang J. Sci. Eng., 2003, 5, pp. 227234.
    17. 17)
      • 17. Zhang, Z.-W., Wang, M.-H., Lu, Z.-M., Zhang, Y.: ‘A skin color model based on modified GLHS space for face detection’, J. Inf. Hiding Multimedia Signal Process., 2014, 5, (2), pp. 144151.
    18. 18)
    19. 19)
      • 19. Zaqout, I., Zainuddin, R., Baba, S.: ‘Pixel-based skin color detection technique’, MG&V, 2005, 14, pp. 6170.
    20. 20)
      • 20. Brand, J., Mason, J.S.: ‘A comparative assessment of three approaches to pixel-level human skin-detection’. Proc. 15th Int. Conf. on Pattern Recognition, Barcelona, Spain, 2000, pp. 10561059.
    21. 21)
      • 21. Gomez, G., Sanchez, M., Sucar, L.: ‘On selecting an appropriate colour space for skin detection’. Proc. MICAI 2002 Mexican Int. Conf. on Artificial Intelligence, Yucatan, Mexico, April 2002, pp. 6978.
    22. 22)
      • 22. Huang, D.-Y., Lin, C.-J., Hu, W.-C.: ‘Learning-based face detection by adaptive switching of skin color models and adaboost under varying illumination’, J. Inf. Hiding Multimedia Signal Process., 2011, 2, (3), pp. 204216.
    23. 23)
      • 23. Soriano, M., Martinkauppi, B., Huovinen, S., Laaksonen, M.: ‘Skin detection in video under changing illumination conditions’. Proc. 15th Int. Conf. on Pattern Recognition, Barcelona, Spain, 2000, pp. 839842.
    24. 24)
    25. 25)
      • 25. Hsu, R.L., Abdel-Mottaleb, M., Jain, A.: ‘Face detection in color images’. Proc. 2001 Int. Conf. on Image Processing, 2001, vol. 1, pp. 10461049.
    26. 26)
      • 26. Kovac, J., Peer, P., Solina, F.: ‘Human skin color clustering for face detection’. Proc. EUROCON 2003, Computer as a Tool, the IEEE Region 8, 2003, vol. 2, pp. 144148.
    27. 27)
      • 27. Lee, J.Y., Yoo, S.: ‘An elliptical boundary model for skin color detection’. Proc. Conf. on Imaging Science, Systems, and Technology, Las Vegas, Nevada, USA, 2002.
    28. 28)
    29. 29)
    30. 30)
      • 30. Baranoski, G.V.G., Krishnaswamy, A.: ‘Light & skin interactions: simulations for computer graphics applications’ (Morgan Kaufmann, 2010).
    31. 31)
      • 31. Varis, L.: ‘Skin: The complete guide to digitally lighting, photographing, and retouching faces and bodies’ (Sybex, 2010).
    32. 32)
      • 32. Jones, M.J., Rehg, J.M.: ‘Statistical color models with application to skin detection’. Technical Report, Compaq Cambridge Research Lab. CRL 98/11, 1998.
    33. 33)
    34. 34)
    35. 35)
      • 35. Casati, J.P.B., Moraes, D.R., Rodrigues, E.L.L.: ‘SFA: A human skin image database based on FERET and AR facial images’. IX Workshop de Visao Computacional, 2013, Rio de Janeiro. Anais do VIII Workshop de Visao Computacional, 2013.
    36. 36)
      • 36. Kawulok, M.: ‘Fast propagation-based skin regions segmentation in color images’. Proc. IEEE FG, 2013, pp. 17.
    37. 37)
      • 37. Nalepa, J., Grzejszczak, T., Kawulok, M.: ‘Wrist localization in color images for hand gesture recognition’. Proc. Int. Conf. on Man-Machine Interaction, ICMMI 2013, vol. 242 of Advances in Intelligent and Soft Computing, Springer, 2013, pp. 7986.
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