A Novel Approach to Detect the Wounds in Human Skin using Image Processing Techniques
K.anuradaa, R.saranya, N.jayachandra and P.muthamilselvi. Article: A Novel Approach to Detect the Wounds in Human Skin using Image Processing Techniques. IJCA Proceedings on Machine Learning: Challenges and Opportunities Ahead MLCONF:12-16, April 2014. Full text available. BibTeX
@article{key:article,
author = {K.anuradaa and R.saranya and N.jayachandra and P.muthamilselvi},
title = {Article: A Novel Approach to Detect the Wounds in Human Skin using Image Processing Techniques},
journal = {IJCA Proceedings on Machine Learning: Challenges and Opportunities Ahead},
year = {2014},
volume = {MLCONF},
pages = {12-16},
month = {April},
note = {Full text available}
}
Abstract
Skin types are epidermis, dermis, cutis and sub cutis. The top most layer of skin is represented as epidermis, the next layer followed by the epidermis called as dermis, and the layer in vascular are represented as cutis and sub cutis. Types of skin disease are bacterial, fungal and enzyme. The skin region is identified by its skin color. By using filter and finding the average among the lesion. and finding the affected area by extracting the primary colors from the lesion and by using line detection we can easily find the affected area of human skin finding the edge of the affected area.
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