提出了一种图像滤波器——伪球滤波器.在伪球滤波器中,除了尺度参数外,还引入了边缘保持参数,因而它能较好地解决传统滤波器的平滑性能与边缘定位精度之间的矛盾.以伪球滤波器取代经典Canny边缘检测算子中的高斯滤波器,得到一种基于伪球的边缘检测算子.模拟图像和真实图像的实验结果表明,与经典的Canny边缘检测算子相比,在具有相当平滑性的条件下,基于伪球的边缘检测算子对边缘定位具有更高的精度。
An image filter called the pseudosphere filter is presented in this paper. An edge-preserving parameter is introduced besides a scale parameter in the pseudosphere filter, and thus a better trade-off between image smoothing and edge locating can be obtained by using it. A pseudosphere-based edge detector is built by replacing the Gaussian filter in the classic Canny edge detector with the pseudosphere filter. Experimental results show that, by comparing with the classic Canny edge detector, in the case of having the same smoothness, pseudosphere-based edge detector offers a better precision for edge locating.