Automatic colon segmentation using isolated-connected threshold

Ku Yaw Chang, Hao Han Zhang, Shao Jer Chen, Lih Shyang Chen, Jia Hong Chen

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

Virtual colonoscopy (VC) is a safe and fast medical imaging procedure to screen the colon for polyps. And it has become very popular recently. Colon segmentation is a necessary and important step of such an examination procedure. In this paper, an automatic colon segmentation method is proposed. The fluid inside the colon is first identified and removed based on its characteristic of horizontal surface. A simple 3D region growing algorithm is applied to obtain initial segmentation of air, which is served as the basis of the ensuing automatic locating object and background seeds. Then the isolated-connected threshold algorithm, together with the above seeds, is applied to obtain the final results. The colon can be obtained by applying morphological operations to the segmentation results of air. Our proposed algorithm can automatically segment different substances based on the isolated-connected threshold. It allows the user to modify the segmentation results interactively by providing more object or background seeds.

原文English
主出版物標題Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011
頁面44-47
頁數4
DOIs
出版狀態Published - 2011 十二月 1
事件1st International Conference on Robot, Vision and Signal Processing, RVSP 2011 - Kaohsiung, Taiwan
持續時間: 2011 十一月 212011 十一月 23

出版系列

名字Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011

Other

Other1st International Conference on Robot, Vision and Signal Processing, RVSP 2011
國家/地區Taiwan
城市Kaohsiung
期間11-11-2111-11-23

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦視覺和模式識別
  • 訊號處理

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