@inproceedings{328fd134cc254a5a9631c9a7e1dced36,
title = "Cone-Beam Computed Tomography Image Pretreatment and Segmentation",
abstract = "Segmentation accuracy is critical in CBCT (cone-beam computed tomography) nondestructive detection. And it is influenced by the segmentation accuracy of CBCT serial slice images. However, the noise and artifacts in CBCT images make it hard to segment CBCT images precisely. To increase CBCT image segmentation accuracy, the 3D information in CBCT images should be fully used. We proposed and compared four connection models for CBCT images pretreatment. They can decrease the noise in CBCT images. Moreover, we propose a 3D CBCT image segmentation method based on the accumulated FCM-S. In the experiment, CBCT slice images of a workpiece are segmented by our proposed method and comparing methods. The segmentation results certified the effectiveness of our method.",
keywords = "CBCT, image processing, segmentation",
author = "Jia Zheng and Dinghua Zhang and Kuidong Huang and Yuanxi Sun",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 11th International Symposium on Computational Intelligence and Design, ISCID 2018 ; Conference date: 08-12-2018 Through 09-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ISCID.2018.00012",
language = "英语",
series = "Proceedings - 2018 11th International Symposium on Computational Intelligence and Design, ISCID 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "25--28",
booktitle = "Proceedings - 2018 11th International Symposium on Computational Intelligence and Design, ISCID 2018",
}