Distribution Information Based Intuitionistic Fuzzy Clustering for Infrared Ship Segmentation

This paper presents a distribution information based intuitionistic fuzzy clustering method for infrared ship segmentation. The algorithm could effectively suppress the influences of nontarget objects with high intensity and intensity inhomogeneity in the infrared ship images. There are mainly two i...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on fuzzy systems 2020-08, Vol.28 (8), p.1557-1571
Hauptverfasser:	Jin, Darui, Bai, Xiangzhi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Blurring Clustering Clustering algorithms Clustering methods Distribution information Image edge detection Image segmentation infrared (IR) images Infrared imagery Inhomogeneity intuitionistic fuzzy <named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> c</tex-math> </inline-formula> </named-content>-means (IFCM) Linear programming Marine vehicles Nonhomogeneous media ship segmentation Spatial data
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!