Research on FCM Algorithm in the 3D Visualization System of Medical Images

Qi Hong; Gai Dong Han

doi:10.4028/www.scientific.net/AMM.727-728.839

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 727-728Research on FCM Algorithm in the 3D Visualization...

Research on FCM Algorithm in the 3D Visualization System of Medical Images

Abstract:

FCM is a fuzzy segmentation based on overall situation, is typically applied in data mining and pattern recognition. In this paper, the segmentation of brain CT is achieved through FCM clustering algorithm in three-dimensional medical image visualization system, the organization in brain CT processed with FCM clustering can be well identified.However, the connectivity of brain organization is severely damaged. In view of this situation, it is proposed that the object in the brain image through clustering be judged by classification of its neighbor domain. The result shows that this method brings a significant improvement in the problem of organization connectivity brought by FCM clustering. Judging the brain image through FCM clustering by classification of its neighbor domain, a brain CT image of better organization integrity and connectivity can be got.

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Periodical:

Applied Mechanics and Materials (Volumes 727-728)

Pages:

839-842

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.727-728.839

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Online since:

January 2015

Authors:

Qi Hong, Gai Dong Han

Keywords:

Clustering Center, Connectivity, Membership Degree Matrix, Neighborhood, Objective Function

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References

[1] Hong Qi, Zhou Jun. Segmentation technology of the application of the improvement in medical visualization. Journal of He Chi University(Natural Science Edition), 2011(5): 78-84.

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[2] Hong Qi, Wang Li. Reading of different data sources in the 3D visualization system for medical images. Journal of Shaanxi University of Technology (Natural Science Edition), 2013(2): 39-44.

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