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一种X射线图像增强方案

崔玉柱, 刘清华

崔玉柱, 刘清华. 一种X射线图像增强方案[J]. 无损检测, 2014, 36(1): 45-48.
引用本文: 崔玉柱, 刘清华. 一种X射线图像增强方案[J]. 无损检测, 2014, 36(1): 45-48.
CUI Yu-zhu, LIU Qing-hua. An Image Enhancement Method of X-ray Image[J]. Nondestructive Testing, 2014, 36(1): 45-48.
Citation: CUI Yu-zhu, LIU Qing-hua. An Image Enhancement Method of X-ray Image[J]. Nondestructive Testing, 2014, 36(1): 45-48.

一种X射线图像增强方案

详细信息
    作者简介:

    崔玉柱(1985-),男,研究实习员,硕士,主要研究方向为射线图像增强。

  • 中图分类号: TP391

An Image Enhancement Method of X-ray Image

  • 摘要: X射线图像信息量大,通常不止一个灰度层次,运用图像增强方法可以提高图像对比度和像质,达到细节区域的最佳视觉效果。笔者首先分析了图像直方图层次;然后针对不同层次的图像内容,采用模糊松弛迭代算法建立了模糊集映射函数,对射线图像进行迭代运算;最后,使用迭代处理结果进一步做Sobel边缘检测算子处理和均值滤波处理。试验表明,该算法增强了图像视觉效果,且增强了图像中不同灰度层次的边缘细节信息,使得图像层次感更加明显。
    Abstract: X-ray image possesses large quantity of information, and there is usually a plurality of gray level information in it. Image enhancement processing, in common use, can enhance image contrast and improve image quality. And the detail information of X-ray image achieves the best visual effect. The paper first analyzes the different hierarchical image content of X-ray image, which possess large amount of information as well as background noise. Then, it establishes mapping function of X-ray image by using fuzzy function and iterative procedure, which can be achieved for distinguishing different levels of X-ray image content. Finally, the paper processes X-ray image separately by using Sobel edge detection operator and mean filter. The experimental results demonstrate that this proposed enhancement method can receive better visual acuity, and there is a distinct hierarchical enhancement of X-ray image.
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出版历程
  • 收稿日期:  2013-03-18
  • 刊出日期:  2014-01-09

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