Extracting Novel Features for Skin Burn Image Classification

Extracting Novel Features for Skin Burn Image Classification

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...

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Bibliographic Details
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
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Institution: Universiti Malaysia Sarawak
Language: English

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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

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