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Analysis of edge detection algorithms based on gradient and aggregation operators. Part 1. The algorithm of differentiation based on aggregation operators

机译:分析基于梯度和聚合算子的边缘检测算法。第1部分。基于聚合算子的微分算法

摘要

The Prewitt, Sobel, Sharr methods of digital images edge detection are considered. Aggregation operators are applied to estimation of parameters. The modeling experiment results allow to determine advantages and disadvantages of gradient methods in digital image processing.
机译:考虑了数字图像边缘检测的Prewitt,Sobel,Sharr方法。聚合运算符应用于参数估计。建模实验结果可以确定梯度方法在数字图像处理中的优缺点。

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