基于b样条函数的分水岭图像分割算法

Chengbo Yu, Huafeng Qin, Hongyan Tao
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引用次数: 1

摘要

针对传统分水岭算法存在的过分割和对噪声敏感的问题,提出了一种能够有效抑制噪声、消除图像边缘、准确检测图像边缘的新算法。首先,利用高频强调滤波器对形态学梯度图像边缘进行有效增强;然后用B样条函数对增强图像进行多次拟合。最后,对曲面进行分水岭分割。实验结果表明,该算法能很好地解决过分割现象。该方法能准确检测图像边缘,提高分割精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A watershed algorithm for image segmentation with B-spline function
With regard to the over-segmentation of traditional watershed algorithm and the problems of sensitivity to noise, a new algorithm that can effectively restrain noise, eliminate image edges and detect the image edges exactly was presented. Firstly, morphological gradient image edge was enhanced by high frequency emphasize filter effectively. Then, the enhancement image is fit by B spline function many times. Finally, the watershed segmentation is used for the curved face. Experimental results demonstrate that watershed segmentation with the proposed algorithm resolves the phenomena of over-segmentation well. The scheme can detect the image edges exactly and improve segmentation precision.
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