TY - GEN
T1 - Extraction of 3D shape of a tooth from dental CT images with region growing method
AU - Yanagisawa, Ryuichi
AU - Omachi, Shinichiro
PY - 2011/3/9
Y1 - 2011/3/9
N2 - Dental information is useful for personal identification. In this paper, a method for extracting three-dimensional shape of a tooth automatically from dental CT images is proposed. In the previous method, one of the main issue is the mis-extraction of the adjacent region caused by the similarity of feature between a tooth and its adjacent teeth or the surrounding alveolar bone. It is important to extract an accurate shape of the target tooth as an independent part from the adjacent region. In the proposed method, after denoising, the target tooth is segmented to parts such as a shaft of a tooth or a dental enamel by the mean shift clustering. Then, some segments in the certain tooth is extracted as a certain region by the region growing method. Finally, the contour of the tooth is specified by applying the active contour method, and the shape of the tooth is extracted.
AB - Dental information is useful for personal identification. In this paper, a method for extracting three-dimensional shape of a tooth automatically from dental CT images is proposed. In the previous method, one of the main issue is the mis-extraction of the adjacent region caused by the similarity of feature between a tooth and its adjacent teeth or the surrounding alveolar bone. It is important to extract an accurate shape of the target tooth as an independent part from the adjacent region. In the proposed method, after denoising, the target tooth is segmented to parts such as a shaft of a tooth or a dental enamel by the mean shift clustering. Then, some segments in the certain tooth is extracted as a certain region by the region growing method. Finally, the contour of the tooth is specified by applying the active contour method, and the shape of the tooth is extracted.
KW - dental CT image
KW - region extraction
KW - region growing
KW - tooth shape
UR - http://www.scopus.com/inward/record.url?scp=79952275682&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952275682&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-19376-7_6
DO - 10.1007/978-3-642-19376-7_6
M3 - Conference contribution
AN - SCOPUS:79952275682
SN - 9783642193750
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 68
EP - 77
BT - Computational Forensics - 4th International Workshop, IWCF 2010, Revised Selected Papers
T2 - 4th International Workshop on Computational Forensics, IWCF 2010
Y2 - 11 November 2010 through 12 November 2010
ER -