Color image segmentation for extracting dental plaque

Kyeong Seop Kim; Seung Won Shin; Se Min Lee; Jin Sun Jeong; Wonse Park; Kee Deog Kim

doi:10.5370/KIEE.2011.60.6.1183

Color image segmentation for extracting dental plaque

Kyeong Seop Kim, Seung Won Shin, Se Min Lee, Jin Sun Jeong, Wonse Park, Kee Deog Kim

Department of Advanced General Dentistry

Research output: Contribution to journal › Article › peer-review

Abstract

In this study, we propose the unsupervised image segmentation algorithm to estimate dental plaque accumulations on digital imaging with methylene blue disclosed plaque. With this aim, RGB color plane is mapped into HSI coordinates and the circular histogram of Hue is reconstructed by applying Otsu's threshold level. The histogram distribution on Saturation features is also analyzed by maximizing the variance between a plaque candidate and non-plaque one. The dental plaque regions are resolved by applying the composite decision logics based on the threshold level of Hue and Saturation.

Original language	English
Pages (from-to)	1183-1189
Number of pages	7
Journal	Transactions of the Korean Institute of Electrical Engineers
Volume	60
Issue number	6
DOIs	https://doi.org/10.5370/KIEE.2011.60.6.1183
Publication status	Published - 2011 Jun

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.5370/KIEE.2011.60.6.1183

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title = "Color image segmentation for extracting dental plaque",

abstract = "In this study, we propose the unsupervised image segmentation algorithm to estimate dental plaque accumulations on digital imaging with methylene blue disclosed plaque. With this aim, RGB color plane is mapped into HSI coordinates and the circular histogram of Hue is reconstructed by applying Otsu's threshold level. The histogram distribution on Saturation features is also analyzed by maximizing the variance between a plaque candidate and non-plaque one. The dental plaque regions are resolved by applying the composite decision logics based on the threshold level of Hue and Saturation.",

author = "Kim, {Kyeong Seop} and Shin, {Seung Won} and Lee, {Se Min} and Jeong, {Jin Sun} and Wonse Park and Kim, {Kee Deog}",

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AU - Jeong, Jin Sun

AU - Park, Wonse

AU - Kim, Kee Deog

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AB - In this study, we propose the unsupervised image segmentation algorithm to estimate dental plaque accumulations on digital imaging with methylene blue disclosed plaque. With this aim, RGB color plane is mapped into HSI coordinates and the circular histogram of Hue is reconstructed by applying Otsu's threshold level. The histogram distribution on Saturation features is also analyzed by maximizing the variance between a plaque candidate and non-plaque one. The dental plaque regions are resolved by applying the composite decision logics based on the threshold level of Hue and Saturation.

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Color image segmentation for extracting dental plaque

Abstract

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