基于形态滤波和梯度模糊GHMT的组合边缘检测

Combined Edge Detection Method Based on Morphology Filtering and Gradient Fuzzy GHMT

提出一种基于形态滤波和梯度模糊GHMT(灰度击中击不中变换)的组合边缘检测方法。先利用广义多结构元形态滤波器对图像进行平滑去噪,然后再引入一种梯度模糊GHMT算子提取边缘,该算子将模糊逻辑融入梯度GHMT边缘检测算子,为梯度GHMT在处理图像边缘不确定信息时提供了一种强有力的工具。实验结果表明,本文提出的组合边缘检测方法能够在较高噪声条件下,得到较为理想的图像边缘。

A combined edge detection method based on morphology filtering and gradient fuzzy GHMT （Gray Hit/Miss Transform） is proposed. First of all, generalized morphological filters with multiple structuring elements are adopted to smooth out the noises in images, then gradient fuzzy GHMT is introduced to detect edges, which applies fuzzy logic to gradient GHMT edge detector, and provides a powerful tool for processing the uncertain information of the image edges. Experimental results show that better performances can be achieved and the edges of noisy images can be detected using this method.