Eda CAPA KİZİLTAS, Ayşenur UZUN, Ersen YILMAZ

Skin Segmentation by Using Complex Valued Neural Network with HSV Color Spaces

Nowadays, digital image processing is useful tool in daily life for security, surveillance and artificial intelligence applications. Mainly in nudity alerts and face detection, skin segmentation is widely preferred method due to its simple background. The main problem in skin segmentation is skin color variation that result of different percentage of pigments, number and size of melanin particles in human-being. In literature, there are rule-based and hybrid models for skin segmentation, however rule-based algorithm are not enough to overcome skin variety. As hybrid mode Complex valued neural network (CVNN) and color space transformation is applied to Skin Segmentation Database from UCI Learning Repository that is collection of different age and race group human’s skin samples in RGB format.

Keywords:

Skin Segmentation, Complex valued neural network (CVNN), Machine Learning,

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[1] Mahmoodi, Mohammad Reza. "High Performance Novel Skin Segmentation Algorithm for Images With Complex Background." arXiv preprint arXiv:1701.05588 (2017).
[2] J R.-L. Hsu, M. Abdel-Mottaleb, and A.K. Jain, “Face detection in colorimages”, IEEE Trans. PAMI, vol. 24, no. 5, pp. 696-706, 2002..
[3] R. Schumeyer and K. Barner, “A color-based classifier for region identification in video”, in Proc. of Visual Communications and Image Processing, vol. 3309, 1998, pp. 189-200..
[4] Bhatt, Rajen B., et al. "Efficient skin region segmentation using low complexity fuzzy decision tree model." India Conference (INDICON), 2009 Annual IEEE. IEEE, 2009.
[5] A. Gupta, V. K. Sehrawat, and M. Khosla. "FPGA based Real Time Human Hand Gesture Recognition System,." Procedia Technology 6(2012): 98-107.
[6] Phung, Son Lam, Abdesselam Bouzerdoum, and Douglas Chai. "Skin segmentation using color pixel classification: analysis and comparison." IEEE transactions on pattern analysis and machine intelligence 27.1 (2005): 148-154.
[7] Costin, Gertrude-E., and Vincent J. Hearing. "Human skin pigmentation: melanocytes modulate skin color in response to stress." The FASEB journal 21.4 (2007): 976-994.
[8] Casati, Joao Paulo Brognoni, Diego Rafael Moraes, and Evandro Luis Linhari Rodrigues. "SFA: A human skin image database based on FERET and AR facial images." IX workshop de Visao Computational, Rio de Janeiro. 2013.
[9] Yasar, Ali, and Ismail Saritas. "Determination of whether Skin or non Skin from the Color Pixels Using Neural Network." Managing Intellectual Capital and Innovation for Sustainable and Inclusive Society: Managing Intellectual Capital and Innovation; Proceedings of the MakeLearn and TIIM Joint International Conference 2015. ToKnowPress, 2015.
[10] Lal, Anisha M., D. Aju, and Mradima Sharma. "SKIN SEGMENTATION OF RGB IMAGES AND ADAPTIVE RECOGNITION USING HSV COLOR MODEL."
[11] Dastane, Tejas, et al. "An Effective Pixel-Wise Approach for Skin Colour Segmentation-Using Pixel Neighbourhood Technique." International Journal on Recent and Innovation Trends in Computing and Communication 6.3 (2018): 182-186.
[12] Jaisakthi, S. M., and S. Mohanavalli. "Skin Segmentation using Ensemble Technique." Research Journal of Applied Sciences, Engineering and Technology 9.11 (2015): 963-968.
[13] Nitta, Tohru. "Orthogonality of decision boundaries in complex-valued neural networks." Neural Computation 16.1 (2004): 73-97.
[14] Peker, Musa, Baha Sen, and Dursun Delen. "A novel method for automated diagnosis of epilepsy using complex-valued classifiers." IEEE journal of biomedical and health informatics 20.1 (2016): 108-118.
[15] Amin, Md Faijul, and Kazuyuki Murase. "Single-layered complex-valued neural network for real-valued classification problems." Neurocomputing 72.4-6 (2009): 945-955.
[16] Yılmaz, Ersen. "Fetal State Assessment from Cardiotocogram Data Using Artificial Neural Networks." Journal of Medical and Biological Engineering 36.6 (2016): 820-832.
[17] Chude-Olisah, Chollette C., et al. "Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction." Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on. IEEE, 2013.
[18] Sural, Shamik, Gang Qian, and Sakti Pramanik. "Segmentation and histogram generation using the HSV color space for image retrieval." Image Processing. 2002. Proceedings. 2002 International Conference on. Vol. 2. IEEE, 2002.
[19] Yu, Hui, et al. "Color texture moments for content-based image retrieval." Image Processing. 2002. Proceedings. 2002 International Conference on. Vol. 3. IEEE, 2002.
[20] Shaik, Khamar Basha, et al. "Comparative study of skin color detection and segmentation in HSV and YCbCr color space." Procedia Computer Science 57 (2015): 41-48.