Nerve cell segmentation via multi-scale gradient watershed hierarchies

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

Automated segmentation of nerve cell in microscopic image is an important task in neural researches. We proposed a multi-scale watershed-based approach to cope with this microscopic image analysis problem. There are three stages in the proposed segmentation algorithm: (1) a multi-scale watershed scheme is used to estimate an initial location of nerve cell nuclei; (2) we can identity nerve cell nuclei according to properties of nerve cell and watershed results in different scale; (3) Once the possible nerve cell is identified as a true one, a fuzzy rule based Active Contour Model (ACM) is applied to find the optimal outer contour. Our approach can segment nerve cell automatically and accurately. The cell detection rates in the experiments are above 95%. Moreover, the fuzzy rule based ACM provides flexible alternative to handle cell contour detection.

原文English
主出版物標題28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
頁面6698-6701
頁數4
DOIs
出版狀態Published - 2006 十二月 1
事件28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
持續時間: 2006 八月 302006 九月 3

出版系列

名字Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN(列印)0589-1019

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
國家United States
城市New York, NY
期間06-08-3006-09-03

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • 引用此

    Wang, Y. Y., Sun, Y-N., Lin, C-C., & Ju, M-S. (2006). Nerve cell segmentation via multi-scale gradient watershed hierarchies. 於 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (頁 6698-6701). [4030635] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.260924