中国石油大学学报（自然科学版）2012，Vol.36Issue(3)：146-150,5.DOI:10.3969/j.issn.1673-5005.2012.03.025
基于形态学方法的工件表面缺陷红外热像检测技术
Infrared thermal images detecting surface defect of steel specimen based on morphological algorithm
摘要
Abstract
An infrared thermal image processing framework to detect surface defect of a steel specimen was proposed. It includes two steps; First, gray processing, Gaussian high pass filter, logarithmic transformation and thresholding were used on the original infrared thermal image in sequence for contrast enhancement; Second, based on the spatial continuity of defect and the size difference between noise and defect, a segmentation method based on morphological algorithm was applied. The threshold number of pixels contained in connected component was set and the effective segmentation of the infrared thermal image was realized. Experimental results show that the proposed framework has very promising segmentation performance and can obtain precise defect information of a steel specimen. It can be used as infrared detection and automatic identification means for components with surface defects.关键词
形态学/红外图像/缺陷检测/连通分量/图像分割Key words
morphological algorithm/ infrared image/ defect detection/ connected component/ image segmentation分类
信息技术与安全科学引用本文复制引用
谢静,杨晓燕,徐长航,陈国明,葛苏鞍..基于形态学方法的工件表面缺陷红外热像检测技术[J].中国石油大学学报（自然科学版）,2012,36(3):146-150,5.基金项目
国家自然科学基金项目(50679083) （50679083）
