一种基于Shen-Castan算子的引导滤波方法

Yinan Xing, Jianbin Liu
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引用次数: 0

摘要

针对超声图像中存在大量噪声的问题,提出了一种基于Shen-Castan算子的引导滤波方法。该方法利用Shen-Castan算子的边缘检测结果来减小导频滤波器的边缘晕现象。应用Shen-Castan算子对噪声图像进行边缘检测;将边缘检测结果返回到原始图像,得到边缘增强的导图;该图像将用作噪声图像的引导图像进行引导滤波。通过仿真实验,基于Shen-Castan算子的引导滤波方法既能保持原有的平滑噪声功能,又能提高客峰的信噪比和结构相似度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Guided Filtering Method Based on Shen-Castan Operator
A guided filtering method based on Shen-Castan operator is proposed to solve the problem of a large amount of noise attached to the ultrasound image. In this method, the edge detection result of the Shen-Castan operator was used to reduce the edge halo phenomenon of the guided filter. Apply the Shen-Castan operator to perform edge detection on the noisy image; the edge detection result will be returned to the original image to obtain an edge enhanced guide image; this image will be used as a guided image of the noisy image for guided filtering. Through the simulation experiment, the guided filtering method based on the Shen-Castan operator can not only maintain the original function of smoothing noise, but also improve the signal-to-noise ratio and structural similarity of the passenger peak.
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