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치아 영상의 반사 제거 및 치아 영역 자동 분할

Other Titles
 Individual Tooth Image Segmentation with Correcting of Specular Reflections 
Authors
 이성택  ;  김경섭  ;  윤태호  ;  이정환  ;  김기덕  ;  박원서 
Citation
 Transactions of the Korean Institute of Electrical Engineers (전기학회논문지), Vol.59(6) : 1136-1142, 2010 
Journal Title
 Transactions of the Korean Institute of Electrical Engineers (전기학회논문지) 
ISSN
 1229-2443 
Issue Date
2010
Keywords
Tooth, Color Image ; Perceptron ; Image Segmentation ; Artificial Neural Network (ANN)
Abstract
In this study, an efficient removal algorithm for specular reflections in a tooth color image is proposed to minimize the artefact interrupting color image segmentation. The pixel values of RGB color channels are initially reversed to emphasize the features in reflective regions, and then those regions are automatically detected by utilizing perceptron artificial neural network model and those prominent intensities are corrected by applying a smoothing spatial filter. After correcting specular reflection regions, multiple seeds in the tooth candidates are selected to find the regional minima and MCWA(Marker-Controlled Watershed Algorithm) is applied to delineate the individual tooth region in a CCD tooth color image. Therefore, the accuracy in segmentation for separating tooth regions can be drastically improved with removing specular reflections due to the illumination effect
Files in This Item:
T201003507.pdf Download
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Advanced General Dentistry (통합치의학과) > 1. Journal Papers
Yonsei Authors
Kim, Kee Deog(김기덕) ORCID logo https://orcid.org/0000-0003-3055-5130
Park, Wonse(박원서) ORCID logo https://orcid.org/0000-0002-2081-1156
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/102315
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