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http://dx.doi.org/10.5370/KIEE.2010.59.1.210

Individual Tooth Image Segmentation by Watershed Algorithm  

Lee, Seong-Taek (건국대 의학공학부)
Kim, Kyeong-Seop (건국대 의료생명대 의학공학부, 건국대 의공학실용기술연구소)
Yoon, Tae-Ho (건국대 의학공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.59, no.1, 2010 , pp. 210-216 More about this Journal
Abstract
In this study, we propose a novel method to segment an individual tooth region in a true color image. The difference of the intensity in RGB is initially extracted and subsequent morphological reconstruction is applied to minimize the spurious segmentation regions. Multiple seeds in the tooth regions are chosen by searching regional minima and a Sobel-mask edge operations is performed to apply MCWA(Marker-Controlled Watershed Algorithm). As the results of applying MCWA transform for our proposed tooth segmentation algorithm, the individual tooth region can be resolved in a CCD tooth color image.
Keywords
Tooth; Color Image; Image Segmentation; Watershed; RGB; Seed;
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