一种X射线图像白点噪声去除算法
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摘要
针对X射线拍摄所获低照度图像中存在随机分布的白点噪声的问题,提出一种X射线图像白点噪声去除算法。此算法对X射线拍摄所获得的低照度图像进行处理,首先,通过该灰度图像直方图自动确定灰度图像的阈值;其次,根据所得阈值判断滤波窗口中心点是否为噪声像素点;最后,对滤波窗口下已经确定的噪声像素点进行处理并对去噪后的图像进行增强。实验结果表明,使用所提算法进行去噪所获得的图像细节更加清楚并且成功去除白点噪声。
In allusion to the problem that the low illumination images obtained by X-ray photographing contain randomlydistributed white spot noise,an algorithm for removing white spot noise in X-ray images is proposed to process the low illumination images obtained by X-ray photographing. The threshold of the gray image is automatically determined by using the gray image histogram. The obtained threshold is used to judge whether the center point of the filtering window is the noise pixel point. The already determined noise pixel points in the filtering window are processed,and the denoised images are enhanced. The experimental results show that the images denoised by the proposed algorithm have clearer details,and their white spot noise can be successfully removed.
In allusion to the problem that the low illumination images obtained by X-ray photographing contain randomlydistributed white spot noise,an algorithm for removing white spot noise in X-ray images is proposed to process the low illumination images obtained by X-ray photographing. The threshold of the gray image is automatically determined by using the gray image histogram. The obtained threshold is used to judge whether the center point of the filtering window is the noise pixel point. The already determined noise pixel points in the filtering window are processed,and the denoised images are enhanced. The experimental results show that the images denoised by the proposed algorithm have clearer details,and their white spot noise can be successfully removed.
引文
[1]阮林波,郭明安,冯兵,等.便携式脉冲X射线成像系统研究[J].光学技术,2003,29(6):747-748.RUAN Linbo,GUO Ming’an,FENG Bing,et al.Design of portable-pulsed X-ray imaging system[J].Optical technique,2003,29(6):747-748.
[2]HANJI G,LATTE M V.A novel mean median filter for noise and artifacts suppression from digital images[J].International journal of computer applications,2014,114(17):20-26.
[3]何海明,齐冬莲,张国月,等.快速高效去除图像椒盐噪声的均值滤波算法[J].激光与红外,2014,44(4):469-472.HE Haiming,QI Donglian,ZHANG Guoyue,et al.Fast and efficient mean filtering algorithm for removing the salt and pepper noise[J].Laser&infrared,2014,44(4):469-472.
[4]林亚明,李佐勇,林叶郁,等.自适应滤波窗实现距离加权图像椒盐噪声滤除[J].中国图象图形学报,2015,20(8):1008-1016.LIN Yaming,LI Zuoyong,LIN Yeyu,et al.Distance-weighted approach based on self-adaptive windows to remove salt and pepper noise in images[J].Journal of image and graphics,2015,20(8):1008-1016.
[5]ZHANG M,DESROSIERS C.Image denoising based on sparse representation and gradient histogram[J].IET image processing,2017,11(1):54-63.
[6]韩子扬,杜利明,王鑫,等.一种改进的小波阈值去噪方法[J].现代电子技术,2016,39(17):20-22.HAN Ziyang,DU Liming,WANG Xin,et al.An improved wavelet threshold denoising method[J].Modern electronics technique,2016,39(17):20-22.
[7]阮秋琦.数字图像处理学[M].3版.北京:电子工业出版社,2013.RUAN Qiuqi.Digital image processing[M].3rd ed.Beijing:Publishing House of Electronics Industry,2013.
[8]郑林涛,董永生,史恒亮.一种新型X射线安检图像增强算法[J].科学技术与工程,2014,14(23):252-256.ZHENG Lintao,DONG Yongsheng,SHI Hengliang.A new enhancement algorithm of X-ray security inspection images[J].Science technology and engineering,2014,14(23):252-256.
[9]李乐鹏,孙水发,夏冲,等.直方图均衡技术综述[J].计算机系统应用,2014,23(3):1-8.LI Lepeng,SUN Shuifa,XIA Chong,et al.Survey of histogram equalization technology[J].Computer systems&applications,2014,23(3):1-8.
[10]陈明亮,陈成新,古建平.一种基于直方图的自适应分段线性变换法[J].国外电子测量技术,2015,34(2):36-38.CHEN Mingliang,CHEN Chengxin,GU Jianping.Adaptive piecewise linear transform method based on histogram[J].Foreign electronic measurement technology,2015,34(2):36-38.
[11]KIM D,KIM C.Contrast enhancement using combined 1Dand 2D histogram-based techniques[J].IEEE signal processing letters,2017,24(6):804-808.
[2]HANJI G,LATTE M V.A novel mean median filter for noise and artifacts suppression from digital images[J].International journal of computer applications,2014,114(17):20-26.
[3]何海明,齐冬莲,张国月,等.快速高效去除图像椒盐噪声的均值滤波算法[J].激光与红外,2014,44(4):469-472.HE Haiming,QI Donglian,ZHANG Guoyue,et al.Fast and efficient mean filtering algorithm for removing the salt and pepper noise[J].Laser&infrared,2014,44(4):469-472.
[4]林亚明,李佐勇,林叶郁,等.自适应滤波窗实现距离加权图像椒盐噪声滤除[J].中国图象图形学报,2015,20(8):1008-1016.LIN Yaming,LI Zuoyong,LIN Yeyu,et al.Distance-weighted approach based on self-adaptive windows to remove salt and pepper noise in images[J].Journal of image and graphics,2015,20(8):1008-1016.
[5]ZHANG M,DESROSIERS C.Image denoising based on sparse representation and gradient histogram[J].IET image processing,2017,11(1):54-63.
[6]韩子扬,杜利明,王鑫,等.一种改进的小波阈值去噪方法[J].现代电子技术,2016,39(17):20-22.HAN Ziyang,DU Liming,WANG Xin,et al.An improved wavelet threshold denoising method[J].Modern electronics technique,2016,39(17):20-22.
[7]阮秋琦.数字图像处理学[M].3版.北京:电子工业出版社,2013.RUAN Qiuqi.Digital image processing[M].3rd ed.Beijing:Publishing House of Electronics Industry,2013.
[8]郑林涛,董永生,史恒亮.一种新型X射线安检图像增强算法[J].科学技术与工程,2014,14(23):252-256.ZHENG Lintao,DONG Yongsheng,SHI Hengliang.A new enhancement algorithm of X-ray security inspection images[J].Science technology and engineering,2014,14(23):252-256.
[9]李乐鹏,孙水发,夏冲,等.直方图均衡技术综述[J].计算机系统应用,2014,23(3):1-8.LI Lepeng,SUN Shuifa,XIA Chong,et al.Survey of histogram equalization technology[J].Computer systems&applications,2014,23(3):1-8.
[10]陈明亮,陈成新,古建平.一种基于直方图的自适应分段线性变换法[J].国外电子测量技术,2015,34(2):36-38.CHEN Mingliang,CHEN Chengxin,GU Jianping.Adaptive piecewise linear transform method based on histogram[J].Foreign electronic measurement technology,2015,34(2):36-38.
[11]KIM D,KIM C.Contrast enhancement using combined 1Dand 2D histogram-based techniques[J].IEEE signal processing letters,2017,24(6):804-808.