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作 者:李海华 刘旭莹[1] 李继霞[1] Li Haihua;Liu Xuying;Li Jixia(Karamay Vocational Technical College,Karamay,Xinjiang,834000)
机构地区:[1]克拉玛依职业技术学院,新疆克拉玛依834000
出 处:《石油化工设备技术》2023年第2期61-66,I0004,共7页Petrochemical Equipment Technology
摘 要:依靠射线检测底片中缺陷的自动识别逐步降低对人工识别的依赖,是近来研究的热点和难点。由于专业领域的局限,掌握图像识别的技术人员对射线检测技术不甚了解,要想做好底片自动识别,必须充分掌握射线底片中缺陷影像的特点以及影响识别的关键因素,其中包括底片透过亮度小、缺陷尺寸较小、图像边缘模糊、边蚀效应、影像变形、面积型缺陷成像差异、重叠成像、人为因素、标准规定差异等。文章对此进行了分析及研究,以便为从事射线检测底片自动识别的技术人员准确把握底片缺陷的影响特点和要素提供参考。It has been a hot issue and difficulty in recent research to gradually reduce the dependence on manual identification by automatic identification of defects in radiographic inspection films.Due to the limitations of professional fields,technicians good at image identification do not know much about radiographic testing technology.Therefore,in order to do a good job in automatic identification of negative films,it is necessary for technicians to fully grasp the characteristics of defect images in radiographic films and the key factors affecting the identification including low transparency of negative film,small defect size,image edge blur,edge erosion effect,image deformation,imaging difference of area type defect,overlapping imaging,human factors,differences in standards or regulations and so on.This paper analyzes and studies the characteristics and key factors so as to provide reference for technicians engaged in automatic identification of radiographic inspection films to accurately grasp the image characteristics and elements of film defects.
分 类 号:TG441.7[金属学及工艺—焊接] TP391.41[自动化与计算机技术—计算机应用技术]
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