向量数学形态学的聚类方法

Proceedings of Third International Conference on Electronics, Circuits, and Systems Pub Date : 1996-10-13 DOI:10.1109/ICECS.1996.582749

C. Vertan, M. Malciu, T. Zaharia, V. Buzuloiu

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引用次数: 6

摘要

近十年来，向量值信号的处理和分析已成为一个重要的研究领域。对于标量信号的经典处理方法的直接推广并不总是可行的。数学形态学被视为一种处理灰度图像的技术，因此它不能轻易扩展。本文提出了一种基于信号样本空间聚类技术的矢量数学形态学方法。

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A clustering approach to vector mathematical morphology

The processing and analysis of vector valued signals has become in the last decade a major field of interest. The direct extension of classical processing methods for the scalar signals is not always possible. The mathematical morphology viewed as a processing technique for gray images is such that it cannot be extended easily. In this paper we present an approach to the vector mathematical morphology based on clustering techniques in the signal sample space.

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Proceedings of Third International Conference on Electronics, Circuits, and Systems

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