Ulinuha, Masy Ari and Yuniarno, Eko Mulyanto and Purnama, I. Ketut Eddy and Hariadi, Mochamad (2021) Facial Bones Segmentation from Skull Point Clouds based on Deviation Angle. POLLACK PERIODICA : AN INTERNATIONAL JOURNAL FOR ENGINEERING AND INFORMATION SCIENCES, 16 (2). pp. 98-103. ISSN 1788-1994 (print); 1788-3911 (online)
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Abstract
Facial bones segmentation is an important step to understanding a skull. In this paper, a method for segmenting facial bones from skull point clouds is proposed. The segmentation is based on the deviation angle features. The method consists of three phases: surface normal estimation, feature extraction, and point clouds classification. The method is applied to skull point clouds derived from computed tomography images. For evaluation, the method is compared with manual segmentation. The method has succeeded in segmenting facial bones with Precision = 0.836, Recall = 0.951, and F = 0.890.
| Item Type: | Article |
|---|---|
| Additional Information: | MTA KFB támogatási szerződés alapján archiválva |
| Subjects: | T Technology / alkalmazott, műszaki tudományok > TA Engineering (General). Civil engineering (General) / általános mérnöki tudományok |
| SWORD Depositor: | MTMT SWORD |
| Depositing User: | MTMT SWORD |
| Date Deposited: | 11 Feb 2022 11:34 |
| Last Modified: | 03 Jun 2023 23:15 |
| URI: | http://real.mtak.hu/id/eprint/137773 |
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