Bilateral Filtering Embed with Edge Flow Feature

Surachai Ongkittikul, Nattapong Jundang
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Abstract

The bilateral filtering is a blurring method that aims to preserve the strong edges in the image. This paper purposes the scheme that collaborate between the edge flow feature and the Gaussian function applied for the bilateral filter. From the edge flow feature, it sets up the reference points from the image to support the consideration of the bilateral filter. The reference points of edge flow feature consists of the magnitude and the direction of the edges of the image. Both features are employed to discriminate the objects in the image. These reference points of the edge flow feature are cooperated in the bilateral filter to improve the quality of the filter. The results of our scheme will compare with the generic of the bilateral filter that our scheme can perform very well.
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嵌入边缘流特征的双边滤波
双边滤波是一种模糊方法,目的是保留图像中的强边缘。本文采用边缘流特征与高斯函数相结合的方法进行双边滤波。从边缘流特征出发,从图像中设置参考点,支持对双边滤波器的考虑。边缘流特征的参考点由图像边缘的大小和方向组成。这两种特征都被用来区分图像中的物体。这些边缘流特征的参考点在双边滤波器中进行协作,以提高滤波器的质量。与一般的双边滤波器进行了比较,结果表明我们的方案具有很好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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