Image Segmentation Arithmetic Based on Narrow Band C-V

Xiao Hu Lv; Yong Xin Liu

doi:10.4028/www.scientific.net/AMR.108-111.1338

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 108-111Image Segmentation Arithmetic Based on Narrow Band...

Image Segmentation Arithmetic Based on Narrow Band C-V

Abstract:

The characters of C-V model are analyzed in this paper. Using the C-V technique to segment objects from an image, every pixel of whole image needed to be updated in each iterative calculation. The amount of iterative calculation is very large. So a computational method combine C-V model with the narrow band of level set is proposed. The segmentation iterative computation is defined on a narrow band, so the computation complexity is gotten lower. This segmentation algorithm is simulated in MATLAB. The simulation results shows that this segment arithmetic is efficiency, constringency fast and can get object integrally.

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Periodical:

Advanced Materials Research (Volumes 108-111)

Pages:

1338-1343

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.108-111.1338

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Online since:

May 2010

Authors:

Xiao Hu Lv, Yong Xin Liu

Keywords:

Computation Complexity, C-V Model, Image Segmentation, Narrow Band

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