文件名称:Image_Contour_Detecting_Base_on_GVF_Snake
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主动轮廓模型( snake) 是计算机视觉领域的重要研究方向, 受到越来越多的研究者的青睐。由于传统snake 具有不能收敛到凹
形区域和收敛速度较慢等缺点, 通过改进外部能量, 引入了梯度矢量流主动轮廓模型(GVF Snake)。实验表明, 该方法能更快、更好的收敛
于图像轮廓。-Active contour model (snake) is an important field of computer vision research direction, by a growing number of researchers of all ages. Because of the traditional snake has not converge to the concave regional and shortcomings such as slow convergence, by improving the external energy, the introduction of the gradient vector flow active contour model (GVF Snake). Experiments show that the method can be faster and better convergence in the image contour.
形区域和收敛速度较慢等缺点, 通过改进外部能量, 引入了梯度矢量流主动轮廓模型(GVF Snake)。实验表明, 该方法能更快、更好的收敛
于图像轮廓。-Active contour model (snake) is an important field of computer vision research direction, by a growing number of researchers of all ages. Because of the traditional snake has not converge to the concave regional and shortcomings such as slow convergence, by improving the external energy, the introduction of the gradient vector flow active contour model (GVF Snake). Experiments show that the method can be faster and better convergence in the image contour.
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Image Contour Detecting Based on GVF Snake.pdf