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Skin Texture Recognition through Image Processing

Sukhdeep Sharma *, Aayushi Dubey**

*-**Department of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies, Haryana, India.

Periodicity:January - March'2019
DOI : https://doi.org/10.26634/jip.6.1.15560

Abstract

Image processing is done to get a better version of an image or an enhanced or filtered image. It is used to extract important information from the image. A raw image is converted into a digital image by undergoing various processes for which proper algorithms and mechanisms are defined. To further investigate on an image, we can perform texture analysis on it. Texture recognition is also an important characteristic of image processing. Both texture recognition and image processing have a variety of uses in the medicine field. In this paper, the authors have discussed about how we can detect the texture of our skin and use it further to test the suitability of skin products that we use daily.

Keywords

Texture Recognition, Texture Segmentation, Edge Detection, Gray Level Co-occurrence Matrix, Dermascope.

How to Cite this Article?

Sharma, S., & Dubey, A. (2019). Skin Texture Recognition through Image Processing. i-manager's Journal on Image Processing, 6(1), 17-25. https://doi.org/10.26634/jip.6.1.15560

References

[1]. Aruta, C. L., Calaguas, C. R., Gameng, J. K., Prudentino, M. V., Anthony, A., & Lubaton, C. J. (2015). Mobile-based medical assistance for diagnosing different types of skin diseases using case-based reasoning with image processing. IJ CI, 3(3), 115-118.

[2]. Bora, D. J. (2017). Importance of image enhancement techniques in color image segmentation: A comprehensive and comparative study. Indian J. Sci. Res., 15(1), 115-131.

[3]. Deshmukh, A. S., & Lokhande, K. P. (2016). Human Skin Texture Analysis using GLCM Technique. International Journal of Ethics in Engineering & Management Education, 3(9), 10-12.

[4]. Dubey, A., Sharma, S., Malik, S., & Jain, P. (2018). A Detailed study of Digital Image Processing. The IIOAB Journal, 9(2), 33-42.

[5]. Fekri-Ershad, S., Saberi, M., & Tajeripour, F. (2012). An innovative skin detection approach using color based image retrieval technique. arXiv preprint arXiv:4(3), 1207.1551.

[6]. Jakhar, D., Misra, A., & Dabas, S. (2018). Myiasis under dermatoscope: The hidden story. Indian Dermatology Online Journal, 9(3), 220-221.

[7]. Karthikeyani, V., Duraiswamy, K., & Kamalakkannan, P. (2007). Conversion of gray-scale image to color image with and without texture synthesis. IJCSNS, 7(4), 11-16.

[8]. Kaur, D., & Sandhu, P. (2013). Human skin texture analysis using image processing techniques. Int. J. Sci. Res. (IJSR), 17-20.

[9]. Kumar, V., & Nanda, M. (2008). Image Processing in Frequency Domain using Matlab®: A Study for Beginners.

[10]. Lavania, K. K., & Kumar, R. (2011). A comparative study of image enhancement using histogram approach. Int. J. Comput. Appl., 32(5), 1-6.

[11]. Prätorius, M., Scherzinger, A., & Hinrichs, K. (2015, September). SkInteract: An on-body interaction system based on skin-texture recognition. In IFIP Conference on Human-Computer Interaction (pp. 425-432). Springer, Cham.

[12]. Sparavigna, A., & Marazzato, R. (2010). An image processing analysis of skin textures. Skin Research and Technology, 16(2), 161-167.

[13]. Xie, J., Zhang, L., You, J., Zhang, D., & Qu, X. (2012). A study of hand back skin texture patterns for personal identification and gender classification. Sensors, 12(7), 8691-8709.

[14]. Yadav, N., Narang, V. K., & Shrivastava, U. (2016). Skin diseases detection models using image processing: A survey. International Journal of Computer Applications, 137(12), 34-39.

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