基于小波变换和直方图匹配的骨科x射线图像增强

Tasnim Sorwar, Z. M. Parvez Sazzad
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引用次数: 0

摘要

x射线图像在医学上广泛用于骨缺陷的检测。图像在采集过程中受到噪声的破坏,导致检测骨骼特征的可见性下降。本文描述了一种改善图像视图的方法,其中图像增强技术起着重要的作用。本文提出了一种基于离散小波变换和直方图匹配技术的x射线图像增强模型,假设增强图像的高频成分可以提高图像的清晰度。因此,这里考虑Haar小波变换的垂直细节。最后,利用直方图规范技术提高图像的可见性。实验结果表明,该算法能有效增强医用x射线图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orthopedic X-ray Image Enhancement Based on Wavelet Transform and Histogram Matching
X-ray images are widely used for detecting defects of bone in medical applications. The images are corrupted by noise during the acquisition process which causes loss of visibility to detect the bone features. This paper depicts a way to improve the view of an image where image enhancement techniques play an important role. Here, an X-ray image enhancement model based on discrete wavelet transform and histogram matching technique is proposed under the assumption that enhancement of high frequency component of an image increases it’s sharpness. Therefore, vertical detail of Haar wavelet transform is considered here. Finally, histogram specification technique is used to increase the visibility of the images. Experimental results show that the algorithm can effectively enhance the medical X-ray images.
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