Dickey F M, Shanmugam K S
Appl Opt. 1977 Jan 1;16(1):145-8. doi: 10.1364/AO.16.000145.
Edge detection and enhancement are required in a number of important image processing applications. In this paper we consider the problem of optimizing spatial frequency domain filters for detecting a class of edges in images. The filter is optimum in that it produces maximum energy in the vicinity of the location of the edge for a given spatial resolution I and the bandwidth ?. We show that the filter transfer function can be specified in terms of the prolate spheroidal wavefunctions for a given space-bandwidth product I?. Further we show that for values of I? less than 2, the optimal filter represents the Laplacian operator in image space followed by a low pass filter with a cutoff frequency ?.
边缘检测和增强在许多重要的图像处理应用中是必需的。在本文中,我们考虑为检测图像中的一类边缘而优化空间频域滤波器的问题。该滤波器是最优的,因为对于给定的空间分辨率I和带宽?,它在边缘位置附近产生最大能量。我们表明,对于给定的空间带宽积I?,滤波器传递函数可以根据长球波函数来指定。此外,我们表明,对于I?小于2的值,最优滤波器在图像空间中表示拉普拉斯算子,随后是截止频率为?的低通滤波器。