This paper introduces an efficient edge detection method based on Gabor filter and rough clustering. The input image is smoothed by Gabor function, and the concept of rough clustering is used to focus on edge detection with soft computational approach. Hysteresis thresholding is used to get the actual output, i.e. edges of the input image. To show the effectiveness, the proposed technique is compared with some other edge detection methods.

翻译：本文介绍了一种基于加博过滤器和粗略组合的高效边缘探测方法。 输入图像由加博功能平滑, 粗略组合的概念用于以软计算法侧重于边缘探测。 使用歇斯底里阈值来获取实际输出, 即输入图像的边缘。 为了显示效果, 将建议的技术与其他边缘探测方法进行比较 。