基于暗通道技术的核电用不锈钢环焊缝DR图像质量优化  

DR image quality optimization of stainless steel girth weld for nuclear power based on dark channel technology

作　　者：朱秀森 高鸿波[1] 胡茂春 吕成澍 张士晶 王战 胡坦能 ZHU Xiusen;GAO Hongbo;HU Maochun;LüChengshu;ZHANG Shijing;WANG Zhan;HU Tanneng(Key Laboratory of Nondestructive Testing of Ministry of Education,Nanchang Hangkong University,Nanchang 330063,China;AECC Changzhou Lanxiang Machinery Co.,Ltd.,Changzhou 213000,China)

机构地区：[1]南昌航空大学无损检测技术教育部重点实验室,南昌330063 [2]中国航发常州兰翔机械有限责任公司,常州213000

出　　处：《无损检测》2023年第4期27-32,86,共7页Nondestructive Testing

基　　金：无损检测技术教育部重点实验室开放基金(EW201908088);南昌航空大学研究生创新专项资金(YC2021-089)。

摘　　要：为提高曝光不足的小径管环焊缝缺陷数字射线成像(DR)检测识别度,以完成核电站压力容器的安全性监测,将导向滤波和暗通道去雾理论相结合,对低剂量下的小径管环焊缝DR图像进行图像增强,通过客观评价指标对图像质量进行评价,并与自适应直方图均衡化(AHE)和限制对比度自适应直方图均衡化(CLAHE)图像增强方法进行对比。结果表明,暗通道图像增强技术对图像质量的改善效果更好,图像对比度噪声比提高了31.5%,信噪比提高了约1.5倍,缺陷轮廓更清晰。In order to improve the detection and identification of underexposed small-diameter pipe girth weld defects,digital radiography(DR)was used to complete the safety monitoring of pressure vessels in nuclear power plants.Guided filtering and dark channel demisting theory were combined to enhance the DR Image of small-diameter pipe girth weld at low dose.The image quality was evaluated through objective evaluation indicators,and compared with adaptive histogram equalization(AHE)and contrast limited adaptive histogram equalization(CLAHE)image enhancement methods.The results show that the dark channel image enhancement technology has a better impact on image quality improvement,the image contrast-to-noise ratio was increased by 31.5%and signal-to-noise ratio was increased by about 1.5 times,and the defect contour was clearer.

关 键 词：数字射线 图像增强 暗通道 对比度噪声比 信噪比 

分 类 号：TG115.28[金属学及工艺—物理冶金]