CT Images Segmentation Based on Dynamic Relative Fuzzy Region Growing Algorithm

Zhen You Zhang; Guo Huan Lou

doi:10.4028/www.scientific.net/AMM.644-650.4233

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650CT Images Segmentation Based on Dynamic Relative...

CT Images Segmentation Based on Dynamic Relative Fuzzy Region Growing Algorithm

Abstract:

Segmentation algorithm of CT Image is discussed in this paper. Dynamic relative fuzzy region growing algorithm is used for CT. At the beginning of the segmentation, the confidence interval region growing algorithm is used. The overlapping parts in the initial segmentation result is segmented again with the improved fuzzy connected, and then determine which region the overlapping parts belong to. Thus, the final segmentation result can be obtained. Since the algorithm contains the advantages of region growing algorithm, fuzzy connected algorithm and the region competition, the runtime of segmentation is greatly reduced and better experimental results are obtained.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4233-4236

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4233

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Cite this paper

Online since:

September 2014

Authors:

Zhen You Zhang*, Guo Huan Lou

Keywords:

Algorithm (GA), CT Image, Image Segmentation, Region of Interest

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* - Corresponding Author

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