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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107331


    Title: Global and local fuzzy energy-based active contours for image segmentation
    Authors: 李柏磊;Shyu, Kuo-Kai;Pham, Van-Truong;Tran, Thi-Thao;Lee, Po-Lei
    Contributors: 資訊電機學院電機工程學系
    Keywords: Automotive Engineering;Boundaries;Classical Mechanics;Contours;Control;Dynamical Systems;Engineering;Euler-Lagrange equation;Fuzzy;Fuzzy logic;Fuzzy set theory;Image segmentation;Inhomogeneity;Mathematical models;Mechanical Engineering;Original Paper;Shape;Two dimensional models;Vibration
    Date: 2012-01-01
    Issue Date: 2026-04-23 14:08:14 (UTC+8)
    Publisher: Springer Netherlands;Dordrecht: Springer Netherlands
    Abstract: 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.
    其他題名: Nonlinear Dyn
    出版者: Dordrecht: Springer Netherlands
    出版日期: 2012-01
    出處: Nonlinear dynamics, 2012-01, Vol.67 (2), p.1559-1578
    版權: Springer Science+Business Media B.V. 2011
    版權: Nonlinear Dynamics is a copyright of Springer, (2011). All Rights Reserved.
    識別號: ISSN: 0924-090X
    識別號: EISSN: 1573-269X
    識別號: DOI: 10.1007/s11071-011-0088-1
    Appears in Collections:[Department of Electrical Engineering] journal & Dissertation

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