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...

Full description

Saved in:

Bibliographic Details
Published in:	Multimedia tools and applications Vol. 75; no. 23; pp. 15327 - 15339
Main Authors:	Chen, Hua-Ching, Feng, Hsuan-Ming, Lin, Te-Hui, Chen, Ching-Yi, Zha, Yu-Xiang
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2016 Springer Nature B.V
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!