• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
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  • 한국과학기술단체총연합회
  • 한국학술지인용색인
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Title A Comparison of Active Contour Algorithms in Computer-aided Detection System for Dental Cavity using X-ray Image
Authors 김대한(Dae-han Kim) ; 허창회(Chang-hoe Heo) ; 조현종(Hyun-chong Cho)
DOI http://doi.org/10.5370/KIEE.2018.67.12.1678
Page pp.1678-1684
ISSN 1975-8359
Keywords Dental caries ; Snake algorithm ; DRLSE ; CADe ; Active contour algorithms
Abstract Dental caries is one of the most popular oral disease. The aim of automatic dental cavity detection system is helping dentist to make accurate diagnosis. It is very important to separate cavity from the teeth in the detection system. In this paper, We compared two active contour algorithms, Snake and DRLSE(Distance Regularized Level Set Evolution). To improve performance, image is selected ROI(region of interest), then applied bilateral filter, Canny edge. In order to evaluate the algorithms, we applied to 7 tooth phantoms from incisor to molar. Each teeth contains two cavities of different shape. As a result, Snake is faster than DRLSE, but Snake has limitation to compute topology of objects. DRLSE is slower but those of performance is better.