Global and local fuzzy energy-based active contours for image segmentation

Kuo Kai Shyu, Van Truong Pham, Thi Thao Tran, Po Lei Lee

研究成果: 雜誌貢獻期刊論文同行評審

36 引文 斯高帕斯(Scopus)

摘要

This paper proposes a novel active contour model for image segmentation based on techniques of curve evolution. The paper introduces an energy functional including a local fuzzy energy and a global fuzzy energy to attract the active contour and stop it on the object boundaries. The local term allows the method to deal with intensity inhomogeneity in images. The global term, aside from driving the contour toward the desired objects, is used to avoid unsatisfying results led by unsuitable initial contour position, a common limitation of models using local information solely. In addition, instead of solving the Euler-Lagrange equation, the paper directly calculates the alterations of the fuzzy energy. By this way, the contour converges quickly to the object boundary. Experimental results on both 2D and 3D images validate the effectiveness of the model when working with intensity inhomogeneous images.

原文???core.languages.en_GB???
頁(從 - 到)1559-1578
頁數20
期刊Nonlinear Dynamics
67
發行號2
DOIs
出版狀態已出版 - 1月 2012

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