期刊文献+

基于形状保持主动轮廓模型长直条的检测 被引量:5

Long Straight Bar Detection Based on Shape Preserving Active Contour Model
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摘要 通过形状约束方程(组)与一般主动轮廓模型结合,将目标形状与主动轮廓模型融合到统一能量泛函模型中,提出一种形状保持主动轮廓模型。模型通过参数化水平集函数的零水平集表示某一类特定形状,不仅达到了分割即目标的目的,而且能够给出特定目标的定量描述。根据形状保持主动轮廓模型,建立一个用于长直条状目标检测的统一能量泛函模型,导出相应的Euler-Lagrange常微分方程并用水平集方法实现了长直条状区域的检测。此形状保持模型的一种特殊情况可以用于直线状地平(海天)线提取。实验结果表明,该模型不仅能够准确地检测出给定图像中的长直条状区域而且有很强的抗噪、抗变形及遮挡性能。 This paper integrates the detected object shape represented by shape restraint equation and general active contour model into an unified energy functional generating the shape preserving active contour model. In this model, a specific class contour shape is represented as the zero level line of some certain parametric level set function. This model can not only detect the given object correctly but also characterize the object shape quantificationally via these parameters. In addition, it builds an energy functional for long straight bar detection using the proposed model. It deduces the corresponding Euler-Lagrange ODE(s) of its shape parameters and implements them using level sets method. It also deduces that a special case of the long straight bar detection model can be used for the linear skyline (sea level) detection. Numerical experiments present this model not only can detect the long straight bar correctly but also is robust to noise, deformity and occlusion.
出处 《计算机工程》 CAS CSCD 北大核心 2008年第1期53-55,58,共4页 Computer Engineering
基金 中国科学院创新基金资助项目(CX01-04-02)
关键词 形状保持 MS模型 主动轮廓 长直条状 地平线 shape preserving Mumford-Shah model active contour long straight bar skyline
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参考文献17

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共引文献66

同被引文献39

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