NDLI: Automatic segmentation of overlapping nuclei with high background variation using robust estimation and flexible contour models

Content Provider	IEEE Xplore Digital Library
Author	Clocksin, W.F.
Copyright Year	2003
Description	Author affiliation: Dept. of Comput., Oxford Brookes Univ., UK (Clocksin, W.F.)
Abstract	We present a segmentation method that works for overlapping and closely packed nuclei in noisy images that have high variation in background intensity. The method has been tested on fluorescence in-situ hybridisation images of interphase leucocyte nuclei. Accurate segmentation is required in support of an automatic procedure for assaying telomere content on a per area per nucleus basis. The method first finds a single seed point for each nucleus that uniquely identifies that nucleus. Seed points are located by an efficient iterative mode-finding algorithm based on robust nonparametric density estimation. Acting simultaneously on all nuclei in the image, and using the seed points as origins, flexible closed contours are dilated until each nucleus is circumscribed. Unlike previous approaches, the contour equations include a repulsive term that prevents different contours from intersecting, thereby preserving the identity of nearby or overlapping nuclei, and the contour is adaptively remeshed for greater efficiency The locations of the seed points are not critical in providing an accurate segmentation. The advantage of this method from an implementation point of view is that the computation of seed points and contours is highly efficient and robust compared with alternative approaches. The method is illustrated using data from a clinical pilot study.
Starting Page	682
Ending Page	687
File Size	334452
Page Count	6
File Format	PDF
ISBN	0769519482
DOI	10.1109/ICIAP.2003.1234129
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Image segmentation Fluorescence White blood cells Iterative algorithms Morphology Marine animals Level set Image sequence analysis Clocks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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