1 Real Time Burning Image Classification Using Support Vector Machine T.S. Hai 1, *, L.M. Triet 1 , L.H. Thai 2 , and N.T. Thuy 3 1 1st Informatics Technology Department, University of Pedagogy, HCMC, Vietnam, {haits,trietlm}@hcmup.edu.vn 2 2nd Computer Science Department, University of Science, HCMC, Vietnam, lhthai@fit.hcmus.edu.vn 3 3rd University of Engineering and Technology, Ha Noi, Vietnam, nguyenthanhthuy@vnu.edu.vn Abstract Burning image classification is critical and attempted problems in medical image processing. This paper has proposed the real time image classification for burning image to automatically identify the degrees of burns in three levels: II, III, and IV. The proposed model uses the multi-colour channels extraction and binary based on adaptive threshold. The proposed model uses One-class Support Vector Machine instead of traditional Support Vector Machine (SVM) because of unbalanced degrees of burns images database. The classifying precision 77.78% shows the feasibility of our proposed model. Keywords: burning image classification; Support Vector Machine (SVM); multi-colour channels. Received on 31 August 2016, accepted on 21 May 2017, published on 06 July 2017 Copyright © 2017 T.S. Hai et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited. doi: 10.4108/eai.6-7-2017.152760 1. Introduction Medical image processing has a variety of potential applications in the recent years. There are many fields in medical image processing: some emphasize general applicable theory and some focus on specific applications. Computer-aided diagnostic processing has already become an important part of clinical routine. This paper develops the computer aided for burning image classification. Burns, commonly caused by fire, can also result from chemicals, electricity, and other heat accidents. Burns are classified based on how much of the skin's thickness is involved [1]. The purpose of burning image classification is to automatically identify the degrees of burns based on the colour image of burning patients. * Corresponding author. Email: haits@hcmup.edu.vn Fig. 1. Degrees of Burns [1] EAI Endorsed Transactions on Context-aware Systems and Applications Research Article EAI Endorsed Transactions on Context-aware Systems and Applications 03 2017 - 07 2017 | Volume 4 | Issue 12 | e