Information Fusion by Extended Power-Based Aggregation in Image Segmentation

E. Pap, Marija Delic, L. Nedovic
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引用次数: 1

Abstract

In this paper we construct two extended aggregation functions, extended powers product and extended weighted arithmetic mean of powers. Their basic properties are examined, as well as certain properties of distance functions constructed by them. In addition, one pixel descriptor, which is motivated by Local Binary Pattern family of descriptors (LBPs), is introduced. We give an application of the introduced extended aggregation functions and descriptor, by a construction of a new distance function, used in Fuzzy c-Means Clustering Algorithm (FCM) for image segmentation.
基于扩展功率聚合的信息融合图像分割
本文构造了两个扩展的聚合函数:扩展幂乘积和扩展幂的加权算术平均值。考察了它们的基本性质,以及由它们构造的距离函数的某些性质。此外,还介绍了一种由局部二值模式描述符族(lbp)驱动的像素描述符。通过构造一个新的距离函数,给出了引入的扩展聚合函数和描述符在模糊c均值聚类算法(FCM)图像分割中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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