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Robust Skin Area Detection Method in Color Distorted Images

색 왜곡 영상에서의 강건한 피부영역 탐지 방법

  • Hwang, Daedong (Research Center, Bosung Tech.,Inc.) ;
  • Lee, Keunsoo (Dept. of Computer Science & Engineering (Computer System Institute), Hankyong National University)
  • 황대동 (보성테크(주) 기술연구소) ;
  • 이근수 (한경대학교 컴퓨터공학과(컴퓨터 시스템 연구소))
  • Received : 2017.05.29
  • Accepted : 2017.07.07
  • Published : 2017.07.31

Abstract

With increasing attention to real-time body detection, active research is being conducted on human body detection based on skin color. Despite this, most existing skin detection methods utilize static skin color models and have detection rates in images, in which colors are distorted. This study proposed a method of detecting the skin region using a fuzzy classification of the gradient map, saturation, and Cb and Cr in the YCbCr space. The proposed method, first, creates a gradient map, followed by a saturation map, CbCR map, fuzzy classification, and skin region binarization in that order. The focus of this method is to rigorously detect human skin regardless of the lighting, race, age, and individual differences, using features other than color. On the other hand,the borders between these features and non-skin regions are unclear. To solve this problem, the membership functions were defined by analyzing the relationship between the gradient, saturation, and color features and generate 108 fuzzy rules. The detection accuracy of the proposed method was 86.35%, which is 2~5% better than the conventional method.

Keywords

fuzzy;image processing;skin detection

References

  1. D. D. Hwang and K. S. Lee, A Study on Adaptive Skin Extraction using a Gradient Map and Saturation Features, Journal of the Korea Academia-Industrial cooperation Society, vol. 15, no. 7, pp. 4508-4515, 2014. DOI: https://doi.org/10.5762/KAIS.2014.15.7.4508 https://doi.org/10.5762/KAIS.2014.15.7.4508
  2. F. A. Pujol, R. Espi, H. Mora and J. L. Sanchez, A fuzzy approach to skin color detection, In Mexican International Conference on Artificial Intelligence. Springer Berlin Heidelberg, pp. 532-542, 2008. DOI: https://doi.org/10.1007/978-3-540-88636-5_51 https://doi.org/10.1007/978-3-540-88636-5_51
  3. Jae-Hyun Jun, Min-Suk Jung, Yong-Suk Jang, Cheol-Woong Ahn, Sung-Ho Kim, "Harmful Image Detection Method Using Skin and Non-Skin Features", The Journal of The Institute of Internet, Broadcasting and Communication (IIBC), vol. 15, no. 4, pp. 55-61, Aug. 2015. DOI: http://dx.doi.org/10.7236/JIIBC.2015.15.4.55 https://doi.org/10.7236/JIIBC.2015.15.4.55
  4. Min-Cheol Lee, Jong-Deok Lee, Myung-Sun Huh, Chan-Woo Moon, Hyun-Sik Ahn, Gu-Min Jeong, A study on the color quantization for facial images using skin-color mask, The Journal of The Institute of Webcasting, Internet Television and Telecommunication, vol. 8 no. 1, pp. 25-30, 2008.
  5. G. Osman, M. S. Hitam, M. N. Ismail. Enhanced skin colour classifier using RGB ratio model, arXiv preprint arXiv:1212.2692. 2012.
  6. P. I. T. Flores, L. E. C. Guillen, O. A. N. Prieto, Approach of RSOR Algorithm Using HSV Color Model for Nude Detection in Digital Images, Computer and Information Science, vol. 4, no. 4, pp. 29, 2011. DOI: http://doi.org/10.5539/cis.v4n4p29 https://doi.org/10.5539/cis.v4n4p29
  7. R. C. Gonzalez, R. E. Woods. Digital Image Processing-3/E, Prentice Hall, New Jersey. 2007.
  8. R. L. Hsu, M. Abdel-Mottaleb, A. K. Jain, Face detection in color images, IEEE transactions on pattern analysis and machine intelligence, vol. 24, no. 5, pp. 696-706, 2002. DOI: https://doi.org/10.1109/34.1000242 https://doi.org/10.1109/34.1000242
  9. S. L. Phung, A. Bouzerdoum, D. Chai, A novel skin color model in YCbCr color space and its application to human face detection, In Image Processing. 2002. Proceedings. 2002 International Conference on IEEE, vol. 1, pp. I-289, 2002. DOI: https://doi.org/10.1109/ICIP.2002.1038016 https://doi.org/10.1109/ICIP.2002.1038016
  10. S. Sultana, M. S. Islam, M. G. Moazzam, Face Detection using Fuzzy Skin Color Segmentation, International Journal of Computer Applications, vol. 85, no. 14, 2014. DOI: https://doi.org/10.5120/14911-3499 https://doi.org/10.5120/14911-3499
  11. Kun-Ha Suh, Eui-Chul Lee, "Physiological signal extraction based liveness detection method for face recognition system", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 6, no. 3, pp. 51-59, Mar. 2016. DOI: http://dx.doi.org/10.14257/AJMAHS.2016.03.16. https://doi.org/10.14257/AJMAHS.2016.03.16.
  12. Kun Ha Suh, Jiyeon Moon, Eui Chul Lee, "Image-based Measuring Heart rate of swimmer using Palm, Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities and Sociology, vol. 7, no. 3, pp. 511-518, Mar. 2017. DOI: http://dx.doi.org/10.14257/AJMAHS.2017.03.25 https://doi.org/10.14257/AJMAHS.2017.03.25
  13. Yoonkyoung Kim, Eui Chul Lee, "Experimental verification on ocular features variation in terms of emotion stimuli and gende", Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 4, no. 2, pp. 107-116, Dec. 2014. DOI: http://dx.doi.org/10.14257/AJMAHS.2014.12.30 https://doi.org/10.14257/AJMAHS.2014.12.30
  14. S. W. Jang, Y. J. Park, G. Y. Kim, H. I. Choi, M. C Hong, An adult image identification system based on robust skin segmentation, Journal of Imaging Science and Technology, vol. 55, no. 2, pp. 20508-1, 2011. DOI: https://doi.org/10.2352/J.ImagingSci.Technol.2011. 55.2.020508 https://doi.org/10.2352/J.ImagingSci.Technol.2011.55.2.020508
  15. V. S. Bhat, D. J. Pujari, Face detection system using HSV color model and morphing operations, In Proceedings of National Conference on Women in Science & Engineering (NCWSE'13), 2013.
  16. Y. J. Park, Identification of Nudity Images through Detection of Body Components, Doctoral thesis, Soongsil University, 2014.
  17. Ki Tae Yoon, Eel Hea Cho, Jooyoup Lee, A Study on Gesture Interface through User Experience, Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 7, no. 6, pp. 839-849, June 2017. DOI: http://dx.doi.org/10.14257/ajmahs.2017.06.60 https://doi.org/10.14257/ajmahs.2017.06.60
  18. Hyun-Suh Kim, Howard Kim, A study on the functional attributes of digital color foraging by using applications for mobile device, Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, vol. 5, no. 4, pp. 55-62, Aug. 2015. DOI: http://dx.doi.org/10.14257/AJMAHS.2015.08.60 https://doi.org/10.14257/AJMAHS.2015.08.60