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STROMULE BRANCH TIP DETECTION BASED ON ACCURATE CELL IMAGE SEGMENTATION

Citation Author(s):
Guoyu Lu, Li Ren, Jeffrey Caplan, Chandra Kambhamettu
Submitted by:
Guoyu Lu
Last updated:
27 August 2017 - 12:32am
Document Type:
Poster
Document Year:
2017
Event:
Presenters:
Guoyu Lu
Paper Code:
3175
 

Based on the dynamic structure, we design a system that can perform accurate stromule image segmentation, branch tip detection and tracking automatically. We substitute the user constraints in active contour segmentation by spatial fuzzy c-means clustering for providing more precise segmentation result. Based on the segmented contour after smoothing, we create a surface normal based feature that can accurately detect
the branch tips. We further combine normal information together with tip position coordinate to apply ICP to track the branch tips moving path.

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