Classification of chemical skin burn using SVM method

摘要

The chemical burn is one of the major accidents and life treating process in the modern world. The proposed research attempts to find an automated solution for classifying chemical skin burn as superficial, partial thickness and full thickness.. The design and development of such a classifier is clinically very significant particularly, when it is used in remote areas and under emergencies. Towards achieving this aim, a database of chemical skin burn images has been created by collecting images from hospitals. The pattern analysis or pattern classifier technique called Support Vector Machine (SVM) is used in the study.