The Design to Pretreatment for Infrared Images
摘 要
为解决红外热图强噪声、低对比度的问题,引入灰度调整法和巴特沃斯低通滤波方法。先对红外热图特点进行了分析,对理想的图像处理目标进行了设计。根据目标,设计处理步骤,并实施相应处理环节,发现该处理方法有效地削弱了噪声带来的高频信号,降低正常区域背景,使得原本模糊的缺陷信号变得清晰,而且提高了图像的整体对比度,为下一步缺陷的分割和定量计算奠定了基础。
Abstract
In order to solve the two problems of low contrast and strong noise with infrared images, the Gray Adjustment Act and the Butterworth Low-pass Filter were introduced. At first, characteristics of infrared image were analyzed. The ideal target of image processing was designed. According to the target, processing steps were devised and implemented. Through steps, high-frequency signals from the noise, were reduced and the background of the normal regional was cut down. So fuzzy defect signals became clear, and the contrast of picture was also improved. These were beneficial for automatically calculating and extracting defect features.
中图分类号 TP274+.52 TG115.28
所属栏目 试验研究
基金项目
收稿日期 2010/11/6
修改稿日期
网络出版日期
作者单位点击查看
备注刘涛(1984-)助教,硕士学历,主要从事红外热波元损检测及图像处理方面研究。
引用该论文: LIU Tao,XU Wei-Chang,LI Yong-Feng,HUANG Wei,HU Fu. The Design to Pretreatment for Infrared Images[J]. Nondestructive Testing, 2011, 33(8): 21~23
刘涛,徐卫昌,李永峰,黄威,胡福. 红外热图的预处理设计[J]. 无损检测, 2011, 33(8): 21~23
共有人对该论文发表了看法,其中:
人认为该论文很差
人认为该论文较差
人认为该论文一般
人认为该论文较好
人认为该论文很好
参考文献
【1】王迅,金万平,张存林,等.红外热波无损检测技术及其进展[J].无损检测,2004,15(10):497-501.
【2】李艳红,金万平,杨党纲,等.蜂窝结构的红外热波无损检测[J].红外与激光工程,2006,2(2):45-48.
【3】张炜,刘涛,杨正伟,等.复合材料锁相红外热像法无损探伤技术研究[J].激光与红外,2009,39(9):939-943.
【4】杨正伟,张炜,田干.导弹发动机的热波检测[J].无损检测,2009,31(1):7-9.
【5】张长江,付梦印,金梅,等.一种抗噪的红外图像对比度增强方法[J].红外与激光工程,2004,32(2):50-54.
【6】Zalameda J N, Rajic N, Winfree W P. A comparison of image processing algorithms for thermal nondestructive evaluation[J]. Thermosense XXV, SPIE Proc,2003(5073):374-385.
【2】李艳红,金万平,杨党纲,等.蜂窝结构的红外热波无损检测[J].红外与激光工程,2006,2(2):45-48.
【3】张炜,刘涛,杨正伟,等.复合材料锁相红外热像法无损探伤技术研究[J].激光与红外,2009,39(9):939-943.
【4】杨正伟,张炜,田干.导弹发动机的热波检测[J].无损检测,2009,31(1):7-9.
【5】张长江,付梦印,金梅,等.一种抗噪的红外图像对比度增强方法[J].红外与激光工程,2004,32(2):50-54.
【6】Zalameda J N, Rajic N, Winfree W P. A comparison of image processing algorithms for thermal nondestructive evaluation[J]. Thermosense XXV, SPIE Proc,2003(5073):374-385.
相关信息