Study on Intelligent Extracting Algorithm of Fascicular Groups from Nerve Slice Image

Abstract:

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An intelligent algorithm is proposed to extract the fascicular groups regional image from the nerve slice image. First, some pixels in the original image are selected arbitarily and their gray level comatrix with different neighbourhood scale are calculated in order to establish the texture feature matrix. Second, the rough k-means is employed to cluster all the arbitarily selected pixels. The arbitarily selected pixels which are located in fascicular groups area would be classified in the same cluster. Then, the convex hull of those pixels located in fascicular groups is calculated in order to extract the regional image. The experiments show that the new proposal not only can be quick and accurate to extract the fascicular groups regional image but is independent on modifying the parameter while processing other nerve slice images, which reflects the new algorithm has good adaptability.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1559-1563

DOI:

10.4028/www.scientific.net/AMR.204-210.1559

Citation:

F. Li et al., "Study on Intelligent Extracting Algorithm of Fascicular Groups from Nerve Slice Image", Advanced Materials Research, Vols. 204-210, pp. 1559-1563, 2011

Online since:

February 2011

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Price:

$35.00

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