A Medical Image Segmentation Method Fusing Anisotropic Diffusion Model

Meng Meng Zhang; Ling Ma; Zhi Hui Yang; Yang Yang; Hui Hui Bai

doi:10.4028/www.scientific.net/AMR.268-270.1121

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270A Medical Image Segmentation Method Fusing...

A Medical Image Segmentation Method Fusing Anisotropic Diffusion Model

Abstract:

The denoising principal of the anisotropic diffusion equation is studied. Adaptive filtering of image is realized by combining the improved image structural similarity algorithm and the anisotropic diffusion equation. This algorithm is applied to medical image segmentation. Experimental results show that the improved algorithm has good robustness and advantages in the application of adaptive medical image filtering and segmentation.

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Periodical:

Advanced Materials Research (Volumes 268-270)

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1121-1126

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.1121

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Online since:

July 2011

Authors:

Meng Meng Zhang, Ling Ma, Zhi Hui Yang, Yang Yang, Hui Hui Bai

Keywords:

Anisotropic Diffusion, Medical Image Segmentation, Structural Similarity (SSIM)

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