To Identify Animal Skin Disease Model Using Image Processing

Authors

  • Meet Shah  Department of Computer Science and Engineering Parul University, Limda, Vadodara, Gujarat, India
  • Tarang Patel  Department of Computer Science and Engineering Parul University, Limda, Vadodara, Gujarat, India
  • Meet Joshi  Department of Computer Science and Engineering Parul University, Limda, Vadodara, Gujarat, India
  • Prof. Neha Parmar  Assistant Professor, Department of Computer Science and Engineering Parul university, Limda, Vadodara, Gujarat, India

Keywords:

Image Processing, Skin Diseases, Segmentation, K means, SVM, Image Pre- Processing, Filtering

Abstract

This paper proposes a skin disease detection method based on image processing techniques. This method is mobile based and hence very accessible even in remote areas and it is completely noninvasive to patient’s skin. The patient provides an image of the infected area of the skin as an input to the prototype. Image processing techniques are performed on this image and the detected disease is displayed at the output. The proposed system is highly beneficial in rural areas where access to dermatologists is limited. Now a day’s image processing is most effective for detection of these kinds of skin diseases. It uses different techniques to identify the part affected by disease like feature extraction, filtering, image pre-processing, image segmentation.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Meet Shah, Tarang Patel, Meet Joshi, Prof. Neha Parmar, " To Identify Animal Skin Disease Model Using Image Processing, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.1087-1092, March-April-2019.