New algorithm for X-ray image enhancement

ZHAO Cun; HU Wei-wei

doi:10.13873/j.1000-9787(2017)05-0071-03

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New algorithm for X-ray image enhancement

更新时间：2025-09-11

- New algorithm for X-ray image enhancement
- Vol. 36, Issue 5, Pages: 71-73(2017)
- 作者机构：
  
  杭州电子科技大学新型电子器件与应用研究所
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2017)05-0071-03
  CLC： O434.1;TP391.41
- Published：2017
- 稿件说明：
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[1]赵存,胡炜薇.一种X射线图像增强新方法[J].传感器与微系统,2017,36(05):71-73.

ZHAO Cun, HU Wei-wei. New algorithm for X-ray image enhancement[J]. 2017, 36(5): 71-73.
[1]赵存,胡炜薇.一种X射线图像增强新方法[J].传感器与微系统,2017,36(05):71-73. DOI： 10.13873/j.1000-9787(2017)05-0071-03.

ZHAO Cun, HU Wei-wei. New algorithm for X-ray image enhancement[J]. 2017, 36(5): 71-73. DOI： 10.13873/j.1000-9787(2017)05-0071-03.

摘要

针对X射线图像对比度不高

图像偏暗

边缘模糊

噪声大的问题

提出了一种小波变换和模糊理论相结合的图像增强新方法。首先

将射线图像进行小波分解获得低频子带和高频子带

然后

对含有图像基本面貌特征和主要能量信息的低频子带采用广义模糊算子进行处理

能较好地提升图像对比度和局部亮度

对含有噪声和细节信息的高频子带利用软阈值去噪方法进行去噪处理

同时定义了一种新的增强算子

在去噪的同时进行细节增强

最后

对处理后的图像进行小波重构。实验结果表明:该方法可以有效去除图像噪声

提升图像对比度和清晰度

视觉效果良好。

Abstract

Aiming at problem of low contrast

edge fog

exist noise of X-ray image

a new X-ray image enhancement algorithm based on wavelet transform and Fuzzy Theory is raised. Firstly

the wavelet transform is adopted to decompose the X-ray image. Secondly

the operator of generalized fuzzy enhancement is applied to low frequency coefficients to improve image contrast and local luminance

the high frequency coefficients are restrained noise by wavelet soft threshold and enhanced by a new enhancement operator. Finally

the inverse wavelet transform is applied to synthesis image. The results show that this algorithm can restrain noise effectively

improve image contrast and definition

which makes the image better.

关键词

Keywords

references

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一种改进的低对比度图像增强算法 [J]. 霍荣,邓家先,谢凯明. 电视技术 . 2015(11)

基于模糊理论的低照度彩色图像增强算法 [J]. 付争方,朱虹. 传感器与微系统 . 2014(05)

一种基于新的小波阈值函数的图像去噪方法 [J]. 黄一鹤. 传感器与微系统 . 2011(09)

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小波变换与中值滤波相结合图像去噪方法 [J]. 唐世伟,林君. 哈尔滨工业大学学报 . 2008(08)

基于小波变换的图像增强算法 [J]. 曾鹏鑫,么健石,陈鹏,徐心和. 东北大学学报 . 2005(06)

基于模糊熵的自适应图像多层次模糊增强算法 [J]. 王保平,刘升虎,范九伦,谢维信. 电子学报 . 2005(04)

Synchrotron Radiation Imaging for Advancing Our Understanding of Cardiovascular Function [J] . Mikiyasu Shirai,Daryl O. Schwenke,Hirotsugu Tsuchimochi,Keiji Umetani,Naoto Yagi,James T. Pearson. Circulation Research . 2013 (1)

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