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首页> 外文期刊>Journal of Electronic Science and Technology of China >Medical X-Ray Image Enhancement Based on Kramer's PDE Model
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Medical X-Ray Image Enhancement Based on Kramer's PDE Model

机译:基于克莱默PDE模型的医学X射线图像增强

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摘要

The purpose of this study is to present an application of a novel enhancement technique for enhancing medical images generated from X-rays. The method presented in this study is based on a nonlinear partial differential equation (PDE) model, Kramer's PDE model. The usefulness of this method is investigated by experimental results. We apply this method to a medical X-ray image. For comparison, the X-ray image is also processed using classic Perona-Malik PDE model and Catte PDE model. Although the Perona-Malik model and Catte PDE model could also enhance the image, the quality of the enhanced images is considerably inferior compared with the enhanced image using Kramer's PDE model. The study suggests that the Kramer's PDE model is capable of enhancing medical X-ray images, which will make the X-ray images more reliable.
机译:这项研究的目的是提出一种新颖的增强技术,以增强从X射线产生的医学图像的应用。本研究中提出的方法基于非线性偏微分方程(PDE)模型,即Kramer的PDE模型。实验结果表明了该方法的有效性。我们将此方法应用于医学X射线图像。为了进行比较,还使用经典的Perona-Malik PDE模型和Catte PDE模型处理X射线图像。尽管Perona-Malik模型和Catte PDE模型也可以增强图像,但是与使用Kramer的PDE模型的增强图像相比,增强图像的质量明显较差。研究表明,克莱默的PDE模型能够增强医学X射线图像,这将使X射线图像更可靠。

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