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提高工业数字射线图像对比度及信噪比的工艺措施

尹芹, 谭云华, 马桂振

尹芹, 谭云华, 马桂振. 提高工业数字射线图像对比度及信噪比的工艺措施[J]. 无损检测, 2011, 33(1): 58-61.
引用本文: 尹芹, 谭云华, 马桂振. 提高工业数字射线图像对比度及信噪比的工艺措施[J]. 无损检测, 2011, 33(1): 58-61.
YIN Qin, TAN Yun-Hua, MA Gui-Zhen. Technical Measures of Improving Contrast and SNR of Industrial Digital Image[J]. Nondestructive Testing, 2011, 33(1): 58-61.
Citation: YIN Qin, TAN Yun-Hua, MA Gui-Zhen. Technical Measures of Improving Contrast and SNR of Industrial Digital Image[J]. Nondestructive Testing, 2011, 33(1): 58-61.

提高工业数字射线图像对比度及信噪比的工艺措施

详细信息
    作者简介:

    尹芹(1973-),男,高级工程师,长期从事锅炉、压力容器和核承压设备无损检测工作。

  • 中图分类号: TG115.28

Technical Measures of Improving Contrast and SNR of Industrial Digital Image

  • 摘要: 对比度及信噪比是构成工业射线数字图像质量的核心要素。从人眼的视觉特性入手,计算验证了人眼对灰度的分辨能力,在数字射线探测器接收特性基础上总结了图像对比度及信噪比与曝光参数的关系,据此提出了一种提高工业数字图像对比度及信噪比的工艺措施。可供优化数字式射线实时成像检测工艺(RTR)及配置检测设备时参考和应用。
    Abstract: Contrast and SNR are core factors of industrial image quality. Starting with human vision character, the distinguishing ability of eyes for grey grades was calculated and tested. The relationships of contrast and SNR to exposure parameters wered deduced based on receiving character of digital radiation detector. A technical measure to improve contrast and SNR of industrial digital image was hereby presented. Present method could be applied for optimizing digital RTR technique and referenced for configuring RTR equipment.
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    [2] 郝允祥,陈暇举,张保洲.光度学[M].北京:北京师范大学出版社,1997.
    [3] 左飞,万晋森,刘航. Visual C++数字图像处理开发入门与编程实践[M].北京:电子工业出版社,2008.
    [4] 强天鹏.射线检测[M].云南:云南科技出版社,2001.
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出版历程
  • 收稿日期:  2010-03-03
  • 刊出日期:  2011-01-09

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