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

机译:数字图像边缘检测的2-D拉普拉斯算子的差分逼近

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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:本文介绍了在数字图像中有限差分边缘检测的应用。对于边缘检测,我们使用多种方法。其中一个是基于Laplace运算符的方法。本文呈现了二维拉普拉斯算子的差分近似。本文提出了基于第9格掩模的差分近似,拉普拉斯镜头。使用Z变换确定系数。,优化基于Laplace滤波器的最大兼容性差分近似的标准,具有理想。根据误差函数的分析选择屏蔽参数。活动获得的滤波器已经在包含几何元素的数字图像上测试。

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