基于模糊理论的焊缝缺陷图像识别算法研究  

Based on the Theory of Fuzzy Weld Defect Image Recognition Algorithms

作　　者：王鹏[1] 王婧[1] 杜卫东 

机构地区：[1]西安工业大学电子信息工程学院,西安710061 [2]山东省特种设备检验研究院,济南250101

出　　处：《科学技术与工程》2013年第19期5520-5523,共4页Science Technology and Engineering

基　　金：陕西省教育厅专项科研计划资助项目(11JK0921);山东省科技厅科技发展计划项目(2010GWZ20402);质检工艺性行业科研专项(201010030);山东省质检总局科研项目(2009KYZ22);陕西省科技厅科学技术研究发展计划项目(2013K07-15)资助

摘　　要：为提高无损检测中焊缝缺陷射线检测效率、降低人工操作强度,针对射线胶片焊缝缺陷自动检测技术普遍存在难以自动准确识别缺陷问题,充分利用焊缝图像中各种信息,提出了一种焊缝缺陷智能检测识别方法。基于自动选择阈值,使用模糊集合进行灰度变换以增强图像对比度;利用最大类间方差算法(OTSU)求解自适应阈值,检测并提取焊缝边缘;依据缺陷几何特征识别不同缺陷。结果表明,该系统可以较为准确地检测各种焊缝图像的边界和缺陷,具有较好地适应性和实用性。In order to improve the detection efficiency of the nondestructive testing of weld defect ray, reduce labor intensity of operation, according to the common problems of the ray.automatic detection technology for. weld defect is difficult to accurately extract, make full use of the information of weld images, put forward a intelligent automatic detection method for weld defects. Based on the automatic threshold, use fuzzy set for gray transform to enhance image contrast; use the OTSU to solve adaptive threshold value to identify and extract the weld edge are pres-ented, according to the geometry characteristics identification different defects. The results show that the method can accurately test the boundaries and defects of all kinds of weld images, has a good adaptability and practicability.

关 键 词：焊缝缺陷 最大类间方差算法 模糊理论 图像处理 

分 类 号：TP302.7[自动化与计算机技术—计算机系统结构]