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IJSTR >> Volume 9 - Issue 3, March 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Feature Analysis Of Skin Disease Images Using Various Techniques Of Digital Image Processing

[Full Text]

 

AUTHOR(S)

Anita Thakur, A.J.Singh

 

KEYWORDS

Skin Diseases, Dermatology, Image Processing, Feature Extraction, Gray level Transformation, Histogram, Edge Detection and Octave.

 

ABSTRACT

Digital Image processing has emerged as an instrument primarily to enhance the quality of images in terms of greater clarity and better description. It is employed inevitably in various fields of the applied science as well as social science. The application areas include the following but not limited to such as the investigating agencies, video processing, pattern recognition, medical field and political science etc. The present paper is an attempt to apply the techniques of image processing in the specialized field of Medical Science that deals with the diagnosis and treatment of skin diseases, known as Dermatology. Skin disease is the skin lesion which affects hair, nail, scalp, skin and mucous membrane. Image processing can help for the early detection of the skin disease. Various techniques have been developed for digital image processing that are used to extract the features of an image such as color, edge and highlights the affected area. Some of those techniques such as Color Transformation, Gray Level Transformation, Histogram, Edge Detection etc. have been studied to analyze the images of skin disease. These techniques have also been applied to enhance the images in order to make them clearer and detailed. Octave tool has been used in this study.

 

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