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射线图像的对比度增强方法
引用本文:付丽琴,韩焱,桂志国. 射线图像的对比度增强方法[J]. 无损检测, 2005, 27(9): 485-486,501
作者姓名:付丽琴  韩焱  桂志国
作者单位:中北大学,无损检测中心,山西太原,030051
摘    要:根据射线图像的特点,介绍进行射线图像对比度增强的常用算法,包括线性和非线性的灰度拉伸、直方图均衡和修正等全局对比度增强方法,以及自适应局部增强方法.此外,针对射线图像的散射噪声,提出用同态滤波的方法实现对比度增强.试验证明,采用不同技术增强后的射线图像细节明显,层次分明,可获得更多的图像识别信息.

关 键 词:射线检测 图像处理 对比度增强 自适应均衡
文章编号:1000-6656(2005)09-0485-02
收稿时间:2004-09-17
修稿时间:2004-09-17

Contrast Enhancement Algorithms for Radiographic Images
FU Li-qin,HAN Yan,GUI Zhi-guo. Contrast Enhancement Algorithms for Radiographic Images[J]. Nondestructive Testing, 2005, 27(9): 485-486,501
Authors:FU Li-qin  HAN Yan  GUI Zhi-guo
Abstract:Based on the characteristics of radiographic testing images, conventional algorithms for tbeir contrast enhancement were introduced, including global algorithms such as linear or non-linear gray stretch, histogram equalization or modification, and adaptive local enhancement algorithm. Besides, homomorphic filtering was introduced into the contrast enhancement of the radiographic image with scattering noise. Testing results showed that the algorithms could make the details of radiographic images more clear, and could be used to acquire more information from the images.
Keywords:Radiographic testing   Image processing   Contrast enhancement   Adaptive equalization
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