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

• 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

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...