A Region Growing Algorithm Based on Anisotropic Filtering for Image Segmentation of the Liver

Li Peng Liu; Yong Xiong Sun; Qiu Yang Huang; Sen Yang; Yi Fei Ma

doi:10.4028/www.scientific.net/AMM.644-650.4303

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650A Region Growing Algorithm Based on Anisotropic...

A Region Growing Algorithm Based on Anisotropic Filtering for Image Segmentation of the Liver

Abstract:

According to the characteristics of the liver image and the shortcomings of the traditional region growing algorithm, a modified region growing algorithm is proposed based on the adaptive anisotropic filtering. The first, a anisotropic filtering algorithm is proposed based on adaptive anisotropic filtering and we make images noise reduction through it. Second, we studied a method which can select seeds automatically, then the parameters which are in the region growing algorithm will be obtained through Otsu. These innovations and improvements enable segmentation algorithm automatic, fast, accurate. Experiments show that, the algorithm that this article proposed the region growing based on adaptive image segmentation of the liver, the result is better than the traditional region growing algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4303-4306

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4303

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Cite this paper

Online since:

September 2014

Authors:

Li Peng Liu*, Yong Xiong Sun, Qiu Yang Huang, Sen Yang, Yi Fei Ma

Keywords:

Anisotropic Filtering, Image Segmentation of the Liver, Region Growing Algorithm

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* - Corresponding Author

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