Extracting Novel Features for Skin Burn Image Classification

• Main Authors: Kuan, Pei Nei, Chua, Stephanie, Effa, Bujang Safawi, Tiong, William Hok Chuon, Wang, Hui Hui
• Format: Article
• Language: English
• Published: Blue Eyes Intelligence Engineering & Sciences Publication 2019
• Subjects: QA75 Electronic computers. Computer science; RD Surgery
• Online Access: http://ir.unimas.my/id/eprint/26736/1/Extracting%20Novel%20Features%20for%20Skin%20Burn%20Image.pdf; http://ir.unimas.my/id/eprint/26736/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076191163&doi=10.35940%2fijrte.C4623.118419&partnerID=40&md5=60ec95135a7ef7f0714f893c1db38715

In this paper, the objective is to propose a set of novel features for the classification of different burn depths by using an image mining approach. Both colour and texture features were studied on skin burn dataset comprising skin burn images categorized into three burn depths by the burn spec...