改进形态学梯度的样条插值亚像素边缘检测方法

摘要

In view of the fact that the traditional edge detection algorithms' positioning accuracy is low and sensitive to noise, a spline interpolation sub-pixel edge detection approach based on mathematical morphology gradient is proposed. We firstly use improved mathematical morphology gradient operator to achieve coarse edge point positioning, and then interpolate the edge of image by three-order spline interpolation. Finally, the extracted edge thinning with morphological thinning operator is used, so the edge of image can be detected effectively, and sub-pixel edge detection is achieved. The experimental results show that this method can precisely detect the image edge and it is superior to the traditional edge detection methods.%针对传统边缘检测算法存在定位精度低、对噪声敏感等缺点,提出一种基于形态学梯度的样奈插值亚像素边缘检测方法.利用改进的数学形态学梯度算子进行边缘点的粗定位,再利用三次样条插值法对提取出的边缘图像进行插值运算,最后利用数学形态学细化算子将提取出的边缘进行细化,可有效地检测出图像边缘,实现亚像素边缘检测.实验结果表明,这种方法能准确地检测出边缘,优于传统的边缘检测方法.