Image Segmentation of Teeth Region by Color Image Analysis

Seong Taek Lee, Kyeong Seop Kim, Tae Ho Yoon, Kee Deog Kim, Wonse Park

Research output: Contribution to journalArticlepeer-review


In this study, we propose a novel color-image segmentation algorithm to discern the teeth region utilizing RG intensity and its relevant RGB histogram features with resolving the variations of its maximum intensity in terms of peaks and valleys. Tooth candidates in a CCD image are first extracted by applying RGB color multi-threshold levels and consequently the successive morphological image operations and a Sobel-mask edge processing are performed to resolve the teeth region and its contour.

Original languageEnglish
Pages (from-to)1207-1214
Number of pages8
JournalTransactions of the Korean Institute of Electrical Engineers
Issue number6
Publication statusPublished - 2009 Jun

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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