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多区域质量特征融合的射线底片图像质量综合评价方法

The Comprehensive Evaluation Method for Radiographic Film Image Quality With Multi-region Quality Feature Fusion

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【作者】 田云祥张勇姜洪权冯章柯张晓明

【Author】 TIAN Yunxiang;ZHANG Yong;JIANG Hongquan;FENG Zhangke;ZHANG Xiaoming;Shaanxi City Gas Industry Development Co.,LTD;State Key Laboratory for Manufacturing Systems Engineering,Xi’an Jiaotong University;Shaanxi Special Equipment Inspection and Testing Institute;

【通讯作者】 姜洪权;

【机构】 陕西城市燃气产业发展有限公司西安交通大学机械制造系统工程国家重点实验室陕西省特种设备检验检测研究院

【摘要】 现有图像质量评价方法主要关注于噪声、清晰度等指标,缺乏对射线底片数字化图像中焊缝区域、缺陷区域及像质计区域等领域关注区域的质量综合评价。针对以上问题,提出了一种融合多区域质量特征的射线图像质量综合评价技术。首先,结合无损检测领域质量评价需求,构建了一套涵盖像质计、焊缝与缺陷等多区域的评价指标体系;然后,基于层次分析法提出一种包含像质计数目、清晰度、对比度、信息熵和平均灰度的射线图像综合质量评定方法。结果表明,所提方法可以实现射线底片数字化图像质量综合评分,既可以定量化评价图像整体质量,也可以保证关注区域图像具有良好质量。

【Abstract】 Existing image quality evaluation methods mainly focused on noise, clarity and other indicators,and lacked the comprehensive evaluation of the quality of the areas of concern in the weld region,defect region and image quality indicators region in the digitised image of the radiographic negative. To address the above problems,a comprehensive radiographic image quality evaluation technique that integrated multi-region quality features was proposed. Firstly, a set of evaluation index system covering multiple regions such as image quality indicators,weld seam and defects was constructed by combining the quality evaluation needs in the field of non-destructive testing;then,a comprehensive radiographic image quality evaluation method including the number of image quality indicators,clarity,contrast,information entropy and average greyness was proposed on the basis of hierarchical analysis method. The experimental results show that the proposed method can achieve the comprehensive evaluation of the digital image quality of the X-ray negative,which can quantitatively evaluate the overall image quality and also ensure the good quality of the image in the concerned area.

【基金】 国家自然科学基金(52375513);陕西城市燃气管道安装质量智能监管平台研发(20220569)
  • 【文献出处】 宇航材料工艺 ,Aerospace Materials & Technology , 编辑部邮箱 ,2025年01期
  • 【分类号】TP391.41
  • 【下载频次】11
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