计算机工程 ›› 2012, Vol. 38 ›› Issue (08): 186-188.doi: 10.3969/j.issn.1000-3428.2012.08.061

• 图形图像处理 • 上一篇    下一篇

基于改进MSR滤波算法的X光图像增强

王 彦,谢晓方,肖楚琬,刘明春,翟胜路,张晓瑜   

  1. (海军航空工程学院兵器科学与技术系,山东 烟台 264001)
  • 收稿日期:2011-06-30 出版日期:2012-04-20 发布日期:2012-04-20
  • 作者简介:王 彦(1982-),男,硕士研究生,主研方向:图像处理,模式识别;谢晓方,教授、博士生导师;肖楚琬、刘明春,助理工程师;翟胜路、张晓瑜,硕士研究生

X-ray Image Enhancement Based on Improved MSR Filtering Algorithm

WANG Yan, XIE Xiao-fang, XIAO Chu-wan, LIU Ming-chun, ZHAI Sheng-lu, ZHANG Xiao-yu   

  1. (Department of Ordnance Science and Technology, Naval Aeronautical Engineering University, Yantai 264001, China)
  • Received:2011-06-30 Online:2012-04-20 Published:2012-04-20

摘要: 工业中用于无损检测的X光图像存在信噪比低、清晰度差、对比度低等缺点。为改善X光图像质量,提出一种改进的多尺度 Retinex滤波(MSR)算法。将原始图像进行小波分解,在低频子带上进行MSR滤波,在高频子带上进行阈值滤波,实现图像重构。实验结果表明,改进MSR算法能同时达到图像增强和去噪的效果。

关键词: 图像增强, 多尺度Retinex滤波, 小波分解, 阈值滤波, 信噪比, 阈值分割

Abstract: The X-ray films for nondestructive flaw detection in industry have the character of low Signal to Noise Ratio(SNR), bad definition and contrast. In order to improve the quality of the X-ray images, an improved Multi-scale Retinex(MSR) algorithm is proposed in this paper. Wavelet transforms the original image and MSR is filtered in the low frequency band. It offers a new threshold function and threshold filtering in the high frequency band to reconstruct the image. Experimental result shows that this MSR algorithm can efficiently enhance the image enhancement while reduce its noise.

Key words: image enhancement, Multi-scale Retinex(MSR) filtering, wavelet decomposition, threshold filtering, Signal to Noise Ratio(SNR), threshold segmentation

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