Abstract
This work proposed an approach for the simple detection and segmentation of human skin color based on user oriented and perceptually color models as RGB, YCbCr, HSV and CIELab. In image and video processing, human skin segmentation finds many applications including face recognition and nudity detection. The success of the human skin detection is purely depends on the exact demarcation of non-skin and skin pixels in the scene. It is very difficult to build up a unique approach for the identification and segmentation of human skin color. The color based approaches for the detection of human skin differentiate the color and luminance information still in the uncharacteristic illumination circumstances. The investigational outcome illustrates the effectiveness of color model based recognition of skin tone in color images.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Montenegro, J., Gomez, W., Sanchez-Orellana, P.: A comparative study of color models in skin-based face segmentation. In: Electrical Engineering Computing Science and Automatic Control (CCE), pp. 313–317 (2013)
Ghazali, K.H.B., Ma, J., Xiao, R.: An innovative face detection based on YCgCr color model. Phys. Proc. 25, 2116–2124 (2012)
Ganesan, P., Rajini, V.: YIQ color model based satellite image segmentation using modified FCM clustering and histogram equalization. In: 2014 International Conference on Advances in Electrical Engineering (ICAEE), pp. 1–5 (2014)
Brand J., Mason, J.: A comparative assessment of three approaches to pixel level human skin-detection. In: Proceedings of the International Conference on Pattern Recognition, vol. 1, pp. 1056-1059 (2000)
Jones, M.J., Rehg, J.M.: Statistical color models with application to skin detection. Int. J. Comput. Vis. (IJCV) 46(1), 81–96 (2002)
Shaik, K.B., Ganesan, P., Kalist, V., Sathish, B.S.: Comparative study of skin color detection and segmentation in HSV and YCbCr color model. Proc. Comput. Sci. 57, 41 – 48 (2015)
Abdel-Mottaleb, M., Hsu, R.L., Jain, A.K.: Face detection in color images. IEEE Trans. Pattern Anal. Mach. Intell. 24(5), 696–706 (2002)
Terrillon, J.C., Shirazi, M.N., Fukamachi, H., Akamatsu, S.: Comparative performance of different skin chrominance models and chrominance models for the automatic detection of human faces in color images. In: Proceedings of Conference on Automatic Face and Gesture Recognition, pp. 54–61 (2000)
Ganesan, P., Rajini, V.: Assessment of satellite image segmentation in RGB and HSV color model using image quality measures. In: 2014 International Conference on Advances in Electrical Engineering (ICAEE), pp. 1–5 (2014)
Ganesan, P., Rajini, V.: Value based semi automatic segmentation of satellite images using HSV color model, histogram equalization and modified FCM clustering algorithm. In: 2013 International Conference on Green Computing, Communication and Conservation of Energy(ICGCE), pp. 77–82 (2013)
Brown, D., Craw, I., Lewthwaite, J.: A SOM-based approach to skin detection with application in real time systems. In: Proceedings of British Machine Vision Conference, pp. 491–500, July 2001
Soriano, M., Huovinen, S., Martinkauppi, B., Laaksonen, M.: Skin detection in video under changing illumination Conditions. In: Proceedings of 15th International Conference on Pattern Recognition, vol. 1, pp. 839–842 (2000)
Ibraheem, N.A., Hasan, M.M., Khan, R.Z., Mishra, P.K.: Understanding color models: a review. ARPN J. Sci. Technol. 2(3), 265–275 (2012)
Chai, D., Ngan, K.N.: Face segmentation using skin color map in videophone applications. IEEE Trans. CCVT 9(4), 551–564 (1999)
Garcia, C., Tziritas, G.: Face detection using quantized skin color regions merging and wavelet packet analysis. IEEE Trans. Multimed. 1(3), 264–277 (1999)
Vezhnevets, V., Sazonov, V., Andreeva, A.: A survey on pixel-based skin color detection techniques. Proc. Raphicon 3, 85–92 (2003)
Al-Tairi, H., Wirza, R., Rahmat, O.K., Saripan, M.I., Sulaiman, P.S.: Skin segmentation using YUV and RGB color models. JIPS 10(2), 283–299 (2014)
Kakumanu, P., Makrogiannis, S., Bourbakis, N.: A survey of skin-color modeling and detection methods. Pattern Recogn. 40(3), 1106–1122 (2007)
Nusirwan, A., Kit, C.W., John, S.,: RGB-H-CbCr skin color model for human face detection. In: Proceedings of The MMU International Symposium on Information and Communications Technologies, pp. 579–584 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sathish, B.S., Ganesan, P., Sanjay, S.D., Ranganayakulu, A., Rao, S.J.M. (2019). An Approach to Threshold Based Human Skin Color Recognition and Segmentation in Different Color Models. In: Prateek, M., Sharma, D., Tiwari, R., Sharma, R., Kumar, K., Kumar, N. (eds) Next Generation Computing Technologies on Computational Intelligence. NGCT 2018. Communications in Computer and Information Science, vol 922. Springer, Singapore. https://doi.org/10.1007/978-981-15-1718-1_8
Download citation
DOI: https://doi.org/10.1007/978-981-15-1718-1_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-1717-4
Online ISBN: 978-981-15-1718-1
eBook Packages: Computer ScienceComputer Science (R0)