Adapt DB-PSO patterns clustering algorithms and its applications in image segmentation

Clustering algorithm is a crucial step before to analysis object’s feature in image applications. The adapt DB-PSO patterns clustering algorithms (ADPCA) combined the particle swarm optimization (PSO) clustering algorithm and adapt DB_index measuring methodology to efficiently decide the real number...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Multimedia tools and applications Jg. 75; H. 23; S. 15327 - 15339
Hauptverfasser:	Chen, Hua-Ching, Feng, Hsuan-Ming, Lin, Te-Hui, Chen, Ching-Yi, Zha, Yu-Xiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2016 Springer Nature B.V
Schlagworte:	Algorithms Analysis Clustering Clusters Computer Communication Networks Computer Science Computer vision Data Structures and Information Theory Datasets Homogeneity Image processing systems Multimedia Information Systems Optimization Special Purpose and Application-Based Systems Studies Swarm intelligence Training Validity DB validity Image segmentation Particle swarm optimization Clustering algorithm
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!