基于改进形态学算子的多尺度边缘检测

A Multi-scale Edge Detection Method Based on Modified Morphological Transform

图像边缘检测的关键是在尽量多地检测到图像边缘的同时更有效地抑制噪声,为此提出了一种新的基于轮廓结构元素的多尺度形态学边缘检测方法。该方法重新组合了基于轮廓结构元素形态学各种运算的优点,实现了一种改进的形态学算子;在此基础上利用改进形态学算子的多尺度运算定义了一种新的边缘检测算子。与其他形态学方法相比,文中方法不仅具有更好的噪声抑制和边缘细节保护功能,而且对结构元素的形状不敏感。

The key to edge detection is to filter more noises while obtaining more edge details. A new multi-scale morphological method of edge detection based on contour structuring elements is proposed in this paper. This method realizes a modified morphological transform through regrouping the priorities of several morphological transforms based on contour structuring elements firstly. And then a new edge detector is defined by using the multi-scale operation of the modified morphological transform. Comparative study with other morphological methods reveals its superiority over de-noising capacity, edge detail protection and un-sensitivity to the shape of the structuring elements.