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Detection and enhancement of line structures in an image by anisotropic diffusion

机译:通过各向异性扩散检测和增强图像中的线结构

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摘要

This paper describes a method to enhance line structures in a gray-level image. For this purpose, we blur the image using anisotropic Gaussian filters along the directions of each lie structure in a line structure region the gradients of image gray levels have a uniform direction. To fine such line structures, we evaluate the uniformity of the directions of the local gradients. Before this evaluation, we need to smooth out small structures to obtain line directions. We, first, blur the given image by a set of Gaussian filters. The variance of the filter which maximizes the uniformity of the local gradient directions is detected position by position. Then, the line directions in the image are obtained from this blurred image. Finally, we blur the image using an anisotropic filter again along the directions, and enhance every line structure.
机译:本文介绍了一种增强灰度图像中线条结构的方法。为此,我们使用各向异性高斯滤波器沿着线结构区域中每个谎言结构的方向对图像进行模糊处理,图像灰度的梯度具有一致的方向。为了细化这种线结构,我们评估了局部梯度方向的均匀性。在进行此评估之前,我们需要对小型结构进行平滑处理以获得线方向。首先,我们通过一组高斯滤波器对给定图像进行模糊处理。逐个位置检测使局部梯度方向的均匀性最大化的滤波器的方差。然后,从该模糊图像获得图像中的线方向。最后,我们再次使用各向异性滤镜沿方向模糊图像,并增强每条线的结构。

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