数字图像处理中拉普拉斯轮廓滤波器的数学特性。三阶滤波器

IF 0.6 Q4 REMOTE SENSING Advances in Geodesy and Geoinformation Pub Date : 2023-05-29 DOI:10.24425/gac.2022.141176
I. Winnicki, Janusz Jasinski, S. Pietrek, Krzysztof Kroszczynski
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引用次数: 1

摘要

拉普拉斯算子是一种用于检测数字图像中物体边缘的微分算子。本文介绍了最常用的三阶3 × 3pixelplacecontourfilter的性质,包括推导它们的差分方法。作者着重讨论了拉普拉斯滤波器的数学性质。利用它们的传递函数和修正的微分方程,研究了性能差异的基本原因。描述了微分拉普拉斯算子的传递函数与差分算子的传递函数之间的关系。讨论了掩模角元素对结果的影响。这是一项理论工作。这里进行的基础研究是指一些实际的例子,这些例子说明了得出的结论。我们意识到,明确甚至明确的最后陈述以及结果应用领域的指示总是需要大量的实验和频繁的结果传播。因此,我们只提出一个确定拉普拉斯轮廓滤波器矩阵数学性质的简明程序。在下一篇文章中,我们将给出拉普拉斯型五阶滤波器的频谱特性。
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The mathematical characteristic of the Laplace contour filters used in digital image processing. The third order filters
: The Laplace operator is a differential operator which is used to detect edges of objects in digital images. This paper presents the properties of the most commonly used third-order3 × 3pixelsLaplacecontourfiltersincludingthedifferenceschemesusedtoderive them. The authors focused on the mathematical properties of the Laplace filters. The basic reasons of the differences of the properties were studied and indicated using their transfer functions and modified differential equations. The relations between the transfer function for the differential Laplace operator and its difference operators were described and presented graphically. The impact of the corner elements of the masks on the results was discussed. This is a theoretical work. The basic research conducted here refers to a few practical examples which are illustrations of the derived conclusions. We are aware that unambiguous and even categorical final statements as well as indication of areas of the results application always require numerous experiments and frequent dissemination of the results. Therefore, we present only a concise procedure of determination of the mathematical properties of the Laplace contour filters matrices. In the next paper we shall present the spectral characteristic of the fifth order filters of the Laplace type.
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