基于多尺度Retinex的数字X光图像增强方法研究

王彦臣; 李树杰; 黄廉卿

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基于多尺度Retinex的数字X光图像增强方法研究

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- 基于多尺度Retinex的数字X光图像增强方法研究
- Enhancement of radiography based multiscale Retinex
- 光学精密工程 2006年14卷第1期页码：70-76
- 作者机构：
  
  1. 东北师范大学物理系,吉林长春,130021
  2. 中国科学院长春光学精密机械与物理研究所,吉林长春130033
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TP391.4
- 收稿日期：2005-11-22，
  
  修回日期：2005-12-08，
  
  网络出版日期：2006-02-20，
  
  纸质出版日期：2006-02-20
- 稿件说明：
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王彦臣, 李树杰, 黄廉卿. 基于多尺度Retinex的数字X光图像增强方法研究[J]. 光学精密工程, 2006,14(1):70-76.

WANG Yan-chen, LI Shu-jie, HUANG Lian-qing. Enhancement of radiography based multiscale Retinex[J]. Optics and precision engineering, 2006, 14(1): 70-76.
王彦臣, 李树杰, 黄廉卿. 基于多尺度Retinex的数字X光图像增强方法研究[J]. 光学精密工程, 2006,14(1):70-76. DOI：

WANG Yan-chen, LI Shu-jie, HUANG Lian-qing. Enhancement of radiography based multiscale Retinex[J]. Optics and precision engineering, 2006, 14(1): 70-76. DOI：

摘要

提出了基于多尺度Retinex(MSR)方法的医学数字X光图像增强处理方法

论述了该算法的原理及实现方法。在3种标准偏差下

求得高斯滤波系数;然后使用3种不同的高斯滤波系数对X光图像进行卷积操作

将3种标准偏差尺度下得到的结果进行加权平均;最后将输出灰度值进行增益映射

得到可用于显示的结果。试验结果表明:MSR算法既可实现低对比的数字X光图像增强

又能实现图像的动态范围压缩

可显著提高暗区数字X光图像的信息。将该方法与几种常用图像增强方法进行了分析比较

表明MSR算法使得X光图像具有更好的灰度分布

能够显著提高暗区图像的信息量

其增强后的信息熵是常规增强方法的2倍

表现出了优良的性能。该方法克服了目前常规的数字X光图像增强方法的不足

能够满足医生临床诊断的要求。

Abstract

An enhancement algorithm of radiography based on multiscale Retinex was presented. The three different Gaussian filter coefficients under three different deviations were calculated

and the convolution operation was implemented between the image distribution and Gaussian filters

a weighted average of multiscale was gained and mapped to gray range of display device. With this method

image contrast enhancement

sharpening and dynamic range compression were achieved at the same time. The information of hidden area of digital radiograph was obviously enhanced. The enhancement technique was compared with other techniques such as histogram equalization

homomorphic filter. The results of experiment show that MSR can more observably improve entropy of digital X-rays than other techniques

and also show that the algorithm can overcome the lack of enhancement of traditional digital X-rays methods and satisfy the clinic demand.

关键词

Keywords

references

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. ORSINI G,RAMPONI G,CARRAI P,et al. A modified Retinex for image contrast enhancement and dynamics control . Image Processing 2003 Proceedings. 2003 International Conference on Image Processing. USA IEEE 2003, 2:393-396.

. RAMPONI G,TENZE L,CARRATO S,et al. Nonlinear contrast enhancement based on the Retinex approach[J]. SPIE, 2003, 5014:169-177.

. LI T, ASARI V. Modified luminance based MSR for fast and efficient image enhancement . Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. 32nd Applied Image Pattern Recognition Workshop. Washington, DC, USA.IEEE 2003, 174-179.

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