使用改进的各向异性扩散的x射线图像增强

2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014) Pub Date : 2014-04-11 DOI:10.1109/ISBB.2014.6820940

L. Septiana, Kang-Ping Lin

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引用次数: 10

摘要

本文提出了一种新的x射线图像增强方法。本文提出的方法是对Perona-Malik各向异性扩散方法的改进，以提高x射线图像的质量。这种改进是通过结合直方图均衡化、Perona-Malik各向异性扩散和加权k均值聚类来实现的。实际x射线图像的结果表明，该算法可以提高原始低剂量x射线图像的图像质量，使其变得更加可靠。

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X-ray image enhancement using a modified anisotropic diffusion

This study presents a novel X-ray image enhancement method. The method proposed in this study is an improved method from Perona-Malik anisotropic diffusion to enhance the quality of X-ray image. This improvement is implemented by combining histogram equalization, Perona-Malik anisotropic diffusion, and a weighted K-means clustering. The result from the real X-ray image shows that the proposed algorithm can improve the image quality of the original low dose x-ray image and make it become more reliable.

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来源期刊

2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)

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