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Edge sharpening in grayscale images using modified Sobel technique

机译:使用改进的Sobel技术在灰度图像中进行边缘锐化

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摘要

Edges of an image is characterised by a boundary that's why it has a significant importance in the field of image processing. This paper presents the modified Sobel edge detection technique which gives sharp thin and noise free edges. Canny edge detection can filter out the useless information than the remaining information defines the structural information of the image. First of all make the image smooth by using a mask than Sobel operator use gradient method to find edges in an image. Gradient method is very useful in camera processing technique. It is used to blend the colors in horizontal and in vertical direction.
机译:图像的边缘具有边界特征,这就是为什么它在图像处理领域中具有重要意义的原因。本文介绍了改进的Sobel边缘检测技术,该技术可提供清晰的薄边缘和无噪声的边缘。比其余信息定义了图像的结构信息,Canny边缘检测可以滤除无用的信息。首先,使用遮罩使图像平滑,而不是Sobel运算符使用渐变方法在图像中查找边缘。梯度法在相机处理技术中非常有用。它用于在水平和垂直方向上混合颜色。

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