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Sharpening of Edges in Radiographic Images Using Edge Preserving Filter

机译：利用边缘保存滤波器锐化射线照相图像中的边缘

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This paper presents a novel method of preserving edges in radiographic images. On applying noise removal algorithm the edges may get blurred and hence there is a need of suitable edge preserving algorithm for preserving edges. The edges appeared to be fuzzy due to noise present in the radiographic image which tends to wrong human interpretation and false detection in the performance of computer-aided diagnosis systems. This paper discusses about the two edge preserving filter. Radiographic image is subjected to two edge preserving filter such as modified Local Edge Preserving filter (LEP) and Adaptive Weighted Mean Filter (AWMF). The performance of these filters is evaluated using the image quality parameters such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Image Quality Index (IQI). The Proposed LEP filter give better performance in the Radiographic image considered.
机译：本文提出了一种在放射线图像中保存边缘的新方法。在应用噪声去除算法上，边缘可能会被模糊，因此需要适当的边缘保留算法来保存边缘。由于射线照相图像中存在的噪声似乎存在模糊的边缘，这在计算机辅助诊断系统的性能下倾向于错误的人类解释和错误检测。本文讨论了两个边缘保存滤波器。射线照相图像经受两个边缘保存滤波器，例如修改的局部边缘保留滤波器（LEP）和自适应加权平均滤波器（AWMF）。使用诸如均方误差（MSE），峰值信号的图像质量参数（PSNR）和图像质量指数（IQI）等图像质量参数评估这些过滤器的性能。所提出的LEP滤波器在考虑的射线照相图像中提供了更好的性能。

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