中文题目: 基于背景校正和图像分割定量分析光学元件表面疵病的新算法
外文题目: New Algorithm of Detecting Optical Surface Imperfection Based on Background Correction and Image Segmentation
作者: 张博; 倪开灶; 王林军; 刘世杰; 吴伦哲
刊名: 光学学报
年: 2016 卷: 36 期: 9 页： 911004
中文关键词:
成像系统; 表面疵病; 背景校正; 图像梯度; 最大类间方差法
英文关键词:

imaging systems; surface imperfection; background correction; image gradient; Otsu method
中文摘要:
针对基于机器视觉的大口径光学元件表面疵病检测系统在成像过程中存在因照明不均匀等因素造成的图像背景不均匀等问题,采用了基于形态学的图像背景校正算法,提出了结合图像梯度和最大类间方差法的图像分割算法,实验结果表明,所提算法对于一定模糊程度的疵病图像具有较好的抗噪性能以及较高的提取精度。

英文摘要:
To solve the non-uniform background problem induced by the illumination with uneven light intensity in the system of detecting surface imperfection on large-aperture optical components based on the machine vision,an image background correction method is adopted based on the mathematical morphology.An image segmentation algorithm of image gradient in combination with Otsu method is proposed.The experimental results show that the proposed method has the good anti-noise performance and high extracting accuracy for the blurred images at a certain degree.


文献类型: 期刊论文
正文语种: Chinese
收录类别: CSCDEI
DOI: 10.3788/AOS201636.0902001


全文传递服务