A region analysis approach for segmenting neural-cell images

Yu, Donggang, Pham, Tuan D., and Crane, Denis I. (2007) A region analysis approach for segmenting neural-cell images. In: Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5529-5532. From: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 23-26 August 2007, Lyon, France.

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Abstract

In this paper we present new algorithms based on region analysis of grey and distance differences of images that successfully circumvent these problems. Two key parameters of this analysis, window width and logical threshold, are automatically extracted for use in logical thresholding, and spurious regions are detected and removed through use of a hierarchical window filter. The efficacy of the developed algorithms is demonstrated here through an analysis of cultured brain neurons from newborn mice.

Item ID: 3102
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: image analysis; pattern recognition; bioinformatics
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ISBN: 978-1-4244-0787-3
ISSN: 1557-170X
Date Deposited: 28 Sep 2009 04:44
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing @ 50%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100%
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