Soma Datta1*, Biswajit Modak2 and Nabendu Chaki2
1Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India
2Dental Surgeon, Nabwadip State General Hospital, Nabwadip, West Bengal, India
*Corresponding Author: Soma Datta, PhD Scholar, Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India.
Received: November 03, 2017; Published: November 13, 2017
Citation: Soma Datta., et al. “Early Carious Lesion Detection and Feature Extraction Based on Colour Image Analysis”. Acta Scientific Dental Sciences 1.6 (2018).
Dental caries is a painful, bacterial disease of teeth caused by acid, carbohydrates. This decayed the enamel, dentine layer of the teeth. Almost 8 billion people suffer from dental caries around the world. Among them, 50 - 60% is children and they often don’t get adequate treatment. Periodic monitoring and treatment is essential to preventing the growth of the caries starting from school level. It is difficult for doctor to keep track the progress of affected lesion. That case, x-ray is helpful although it is injurious to health. Hence optical image based caries monitoring system is advantageous to monitor the size of the lesion. It is safe for the children and pregnant ladies. In this paper we propose a new, safe and low cost early caries detection method based on optical images of teeth. This system segments tooth, carious lesion and monitor the affected lesion size. The main goal of this research work is to find the exact affected carious lesion and it’s features that assist dentist for better follow-up and diagnosis.
Keywords: Carious Lesion; Dental Caries; X-Ray
Copyright: © 2018 Soma Datta., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.