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Proceedings Paper

A heuristic approach for the extraction of region and boundary of mammalian cells in bio-electric images
Author(s): Li Tao; Vijayan K. Asari
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Paper Abstract

A robust segmentation and boundary tracking technique for the extraction of the region and boundary of mammalian cells in bioelectric images is presented. The proposed algorithm consists of four steps. The first step is an image enhancement process composed of low-pass filtering and local contrast enhancement. The second step employs recursive global adaptive thresholding method based on the statistical information of the contrast enhanced image to separate cells and some other image features from the background. Due to the effective image enhancement produced in the previous step, global adaptive thresholding is sufficient to provide satisfactory image thresholding results. The third step in the segmentation process is composed of boundary tracking and morphological measurement for cell detection. A new efficient boundary tracking scheme is proposed. In the last step non-cell objects are found and removed from the segmented image based on the morphological information obtained in the last step.

Paper Details

Date Published: 17 February 2006
PDF: 12 pages
Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 60640Z (17 February 2006); doi: 10.1117/12.650207
Show Author Affiliations
Li Tao, Old Dominion Univ. (United States)
Vijayan K. Asari, Old Dominion Univ. (United States)


Published in SPIE Proceedings Vol. 6064:
Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning
Nasser M. Nasrabadi; Edward R. Dougherty; Jaakko T. Astola; Syed A. Rizvi; Karen O. Egiazarian, Editor(s)

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