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Differential Approximation of the 2-D Laplace Operator for Edge Detection in Digital Images

机译:用于图像边缘检测的二维Laplace算子的微分逼近

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The paper presents the application of finite difference edge detection in digital images. For edge detection we use several methods. One of them is a method based on Laplace operator. This paper presents a differential approximation of the two-dimensional Laplace operator. The paper proposes a differential approximation, Laplace operator, based on 9-th lattice mask. Coefficients were determined using the Z transform. Optimization is based on the criterion of maximal compatibility differential approximation of Laplace filter with ideal. Mask parameters were chosen based on the analysis of the error function. Activity obtained filter has been tested on a digital image that contains many elements of geometry.
机译:本文介绍了有限差分边缘检测在数字图像中的应用。对于边缘检测,我们使用几种方法。其中之一是基于拉普拉斯算子的方法。本文提出了二维拉普拉斯算子的微分近似。本文提出了一种基于第9个晶格掩模的微分近似Laplace算子。使用Z变换确定系数。优化基于具有理想拉普拉斯滤波器的最大相容性微分逼近准则。基于对误差函数的分析,选择了掩膜参数。活动获得的过滤器已在包含许多几何元素的数字图像上进行了测试。

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