Skin Disease Diagnosis System Using Image Processing

February 2019
Vol-5, Issue-2
Paper ID: 9560
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Preprocessing Segmentation Feature Extraction Feature Classification
Abstract
Now a days skin disease are mostly found in animals, plants and humans. Almost in all ages of human beings infections related to Skin diseases can occur. The various diseases like alopecia, ringworm, yeast infection, brown spot, allergies, eczema etc. have very harmful effects towards skin and keep on spreading over the period of time. So, it becomes necessary to identify these diseases at the very primary stage to control it from spreading. In proposed system image of the skin disease will be captured using smart-phone camera. After capturing image Preprocessing and segmentation will performed on the captured image. Feature extraction method is used to capture basic features such as color, texture and shape or Domain specific features from image for indexing and retrieval. After feature extraction, classification of features can be done. In Feature Extraction, the system will compare the captured image with the training data set using Optimization image processing techniques and decides whether a skin suffers from diseases or not. If there is disease, then the system will give medical advice and it will also provide list of various dermatologist through Desktop application.

Author Information

# Name Institute / Affiliation
1 Aarti Shard Khalkar Matoshri Aasarabai Polytechnic, Eklahare, Nashik.
2 Poonam Tukaram Handge Matoshri Aasarabai Polytechnic, Eklahare, Nashik.
3 Kajal Shivaji Randhe Matoshri Aasarabai Polytechnic, Eklahare, Nashik.
4 Pallavi G.Patil Matoshri Aasarabai Polytechnic, Eklahare, Nashik.
5 Deepak Y. Thorat Matoshri Aasarabai Polytechnic, Eklahare, Nashik.

How to Cite

Use the following formats to cite this article in your research.

APA Style
Khalkar, Aarti Shard, Handge, Poonam Tukaram, Randhe, Kajal Shivaji, G.Patil, Pallavi, & Thorat, Deepak Y. (2019). Skin Disease Diagnosis System Using Image Processing. International Journal of Advance Research and Innovative Ideas In Education, 5(2), 81-83.
MLA Style
Khalkar, Aarti Shard, et al. "Skin Disease Diagnosis System Using Image Processing." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, 2019, pp. 81-83.
IEEE Style
Aarti Shard Khalkar, Poonam Tukaram Handge, Kajal Shivaji Randhe, Pallavi G.Patil, and Deepak Y. Thorat, "Skin Disease Diagnosis System Using Image Processing," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, pp. 81-83, 2019.
Vancouver Style
Khalkar Aarti Shard, Handge Poonam Tukaram, Randhe Kajal Shivaji, G.Patil Pallavi, Thorat Deepak Y.. Skin Disease Diagnosis System Using Image Processing. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(2):81-83.
Harvard Style
Khalkar, Aarti Shard, Handge, Poonam Tukaram, Randhe, Kajal Shivaji, G.Patil, Pallavi, & Thorat, Deepak Y. (2019) 'Skin Disease Diagnosis System Using Image Processing', International Journal of Advance Research and Innovative Ideas In Education, 5(2), pp. 81-83.
Chicago Style
Khalkar, Aarti Shard, et al. "Skin Disease Diagnosis System Using Image Processing." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 81-83.
Turabian Style
Khalkar, Aarti Shard, et al. "Skin Disease Diagnosis System Using Image Processing." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 81-83.

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