期刊文献+

小波变换在热波检测图像增强中的应用 被引量:4

Application of wavelet transformation to images enhancement in thermal wave NDT
下载PDF
导出
摘要 为解决红外热波检测图像高噪声,低对比度的问题,将小波变换引入到图像增强环节中。先对小波变换的图像增强原理进行介绍,并对增强过程进行设计。为得到最佳增强效果,对增强函数中的阈值、增强系数的选取进行了研究,并指出,阈值T主要影响降噪效果,增强系数K1主要影响过渡区域的增强效果,增强系数K2主要影响图像的对比度,并对参数的选取方法进行说明。在此基础上,最终选取阈值T为670,K1为10,K2为0.1,对某复合材料的红外热图进行增强处理,通过与原图对比,证明了该方法的有效性。 In thermal wave NDT, the contrast is low and noise is high. In order to resolve the problem, the wavelet transformation is introduced in image enhancing step. At first, the theory of image enhancement of wavelet transforma- tion is explained, and image enhancing process is designed. To get the best enhancing effect, threshold value, enhan- cing factors of enhance function are studied. The conclusions are as follows : noise reduction is influenced mainly by threshold value T; enhancing parameter Kl is relevant with enhancing effect of transition region ; improvement of picture contrast depends on enhancing parameter K2. On the basis of the conclusion, threshold value T is set to be 670,K, to be 10 ,K2 to be 0.1. Test image of certain composite material is processed. Compared with the original picture, the en- hancing effect is quite good, which proves the availability of this enhancing method.
出处 《激光与红外》 CAS CSCD 北大核心 2012年第6期709-712,共4页 Laser & Infrared
关键词 红外热波无损检测 红外热图 图像增强 小波变换 thermal wave NDT infrared images image enhancing wavelet transformation
  • 相关文献

参考文献9

二级参考文献58

共引文献94

同被引文献34

  • 1谢锋,谢寿生.基于小波分析的航空发动机旋转失速检测方法[J].航空动力学报,2006,21(4):754-758. 被引量:18
  • 2陈会羽.图像对比度增强的小波变换法[J].计算机工程与应用,2006,42(25):66-68. 被引量:8
  • 3Xiangzhi Bai, Fugen Zhou, Bindang Xue. Infrared image enhancement through contrast enhancement by using mul- tiscale new top-hat transform [ J ]. Infrared Physics & Technology, 2011,54 (2) : 61 - 69.
  • 4Francisco J. Madruga, Clemente Ibarra-Castanedo, Olga M Conde, et al. Infrared thermography processing based on higher-order statistics [ J ]. NDT & E International, 2010, 43 (8) :661 - 666.
  • 5W L Gong,Y X Gong, A F Long. Multi-filter analysis of infrared images from the excavation experiment in horizon- tally stratified rocks [ J ]. Infrared Physics & Technology, 2013,56:57 - 68.
  • 6Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion [ J ]. IEEE Transactions on Pattern A- nalysis and Machine Intelligence, 1990, 12 (7): 629 - 639.
  • 7Guillermo Sapiro. Geometric partial differential equations and image analysis [ M ]. New York : Cambridge University Press, 2001.
  • 8彭玉华.小波变换与工程应用[M].北京:科学出版社,2002:1-51.
  • 9冯斌.液体火箭发动机试验数据处理方法研究[C]//哈尔滨工程大学,2012.
  • 10张曈,朱虹,张然,沈憧,杨向波.复小波域维纳滤波与偏微分扩散相结合的图像去噪方法[J].中国图象图形学报,2009,14(5):848-852. 被引量:6

引证文献4

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部