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本文提出一个新的图象边缘检测方法,采用扁球面函数的特性,形成一种特殊的滤波器。它由分别检测纵向和横向边界的两个带通滤波器组成,最大可能地把能量聚集在一个宽度为τ的缝隙中(其中τ是可以人为选择的)。在实现这个滤波器时,可以利用二维快速傅氏变换在频域中进行处理。实验结果表明本方法在处理低信噪比图像时,比起其他常用方法有显著的改进。
This paper presents a new image edge detection method, the use of the characteristics of the spheroid function to form a special filter. It consists of two band-pass filters that detect the longitudinal and transverse boundaries, respectively, and collects the energy most likely in a slot of width τ (where τ is artificially chosen). In the implementation of this filter, you can use the two-dimensional fast Fourier transform in the frequency domain for processing. The experimental results show that this method has a significant improvement over other commonly used methods when dealing with low SNR images.