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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

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Skin Texture Recognition through Image Processing

Abstract

Keywords

How to Cite this Article?

References

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