现代制造工程Issue(8)：132-137,6.DOI:10.16731/j.cnki.1671-3133.2026.08.018
融合形态学和Franklin矩的亚像素边缘检测方法
A sub-pixel edge detection method that integrates morphological analysis and Franklin moments
摘要
Abstract
The detection accuracy and execution efficiency in the precision measurement scenarios were studied,and an improved sub-pixel edge detection method based on multi-structural element morphological gradient and Franklin moment was proposed.Firstly,bilateral filtering was used for image preprocessing,and an improved multi-structural element morphological gra-dient filter operator was constructed for coarse edge location.Then,the key parameters of the sub-pixel edge point template were determined through adaptive Otsu threshold segmentation and Franklin moment mathematical derivation.Finally,the sub-pixel level precise location was achieved by combining the coarse located edge points with Franklin moment.Experiments show that the detection accuracy of this method reaches the 10 μm level,the execution efficiency was improved by about 16.5％compared with the comparison algorithm,and it had better noise resistance,which can better meet the requirements of high accuracy and high ef-ficiency in edge detection of precision measurement.关键词
边缘检测/亚像素/改进多结构元素形态学梯度/自适应Otsu阈值/Franklin矩Key words
edge detection/subpixel/improved multi-structural element morphological gradient/adaptive Otsu thresholding/Franklin moments分类
信息技术与安全科学引用本文复制引用
闫洪波,余高超,赵威,王鑫辉..融合形态学和Franklin矩的亚像素边缘检测方法[J].现代制造工程,2026,(8):132-137,6.基金项目
内蒙古自然科学基金项目(2024MS05010) （2024MS05010）
