一种基于高斯函数的直线型边缘提取算法

A Novel Linear Edge Extraction Method Based on Gaussian Function

结合噪声孤立、不连续的特点以及直线梯度幅值和方向的一致性原理,提出了一种基于高斯函数直线型边缘提取算法。与传统的直线提取算法相比,本文提出的算法能够有效的防止边缘细节的丢失和断裂。实验结果表明,该算法在检测直线型边缘时具有较强的抗噪声性能。

To take advantage of the consistency of the gradient and orientation of line, this paper addresses an algorithm to extract the linear edge considering that the noise is isolate and discontinuous. The algorithm can prevent the loss of the details and the rupture of lines. The experimental results show that the algorithm performs well in removing noises when extracting the linear edges.