通过高斯矩阵的核拉普拉斯卷积运算实现数字图像素描滤波器

Edusaintek Pub Date : 2023-08-30 DOI:10.47668/edusaintek.v11i1.947

Bunbun Muhammad, Tedjo Darmanto, Ryan Gustira Haryanto Putra

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引用次数: 0

摘要

摘要草图滤波通常用于对图像进行进一步处理的初步处理，如用深度学习方法对某一物体进行模式识别。几种类型的草图滤波器可以用来检测物体的边缘。本文探讨了利用拉普拉斯高斯核矩阵实现卷积运算的方法，并将其作为一种素描滤波器来检测物体的边缘。

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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IMPLEMENTASI FILTER SKETSA CITRA DIGITAL MELALUI OPERASI KONVOLUSI DENGAN MATRIK KERNEL LAPLACE OF GAUSS

Sketch filter is used usually as a preliminary process of the images due to further processing such as in pattern recognition of a certain object by deep learning method. Several types of sketch filter can be used to detect the edge of object. In this paper the implementation of convolution operation by the Laplace of Gauss kernel matrix is explored to be used as a sketch filter to detect the edge of object.

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Edusaintek

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