火力与指挥控制2017，Vol.42Issue(7)：52-55,4.DOI:10.3969/j.issn.1002-0640.2017.07.012
改进的Canny算法在直焊缝图像缺陷边缘检测中的应用
Application of Improved Canny Algorithm in Defect Edge Detection of Straight Weld Image
摘要
Abstract
When defect edge detection is conducted to the X-ray image of a straight weld with clamp slag,pores and cracks,the traditional Canny algorithm,though being able to detect edge defects, is poorly adaptable and prone to false edges. An improved Canny algorithm is presented in this paper, suppressing gradient histogram of pixels by non-maximal value,and the required high and low threshold are adaptively acquired to connect defect edges by using the maximal pixel gradient and the maximal gradient variance;it also improves the template for image gradient calculation. The experimental results show that the improved Canny algorithm not only restrains the noise,but also avoids false edges,and has favorable effect on retaining details of defect edge details.关键词
改进Canny算法/边缘检测/像素最值梯度方差Key words
improved canny algorithm/edge detection/maximal gradient variance of pixel分类
信息技术与安全科学引用本文复制引用
郝利华,王明泉..改进的Canny算法在直焊缝图像缺陷边缘检测中的应用[J].火力与指挥控制,2017,42(7):52-55,4.基金项目
国家自然科学基金(61171177) （61171177）
国家重大科学仪器设备开发专项基金资助项目(2013YQ240803) （2013YQ240803）
