Title :
Image classification based on particle swarm optimization combined with K-means
Author_Institution :
Sch. of Arts & Propagation Medium, Xi´´an Technol. Univ., Xi´´an, China
Abstract :
This paper proposes a new image classification algorithm of cluster analysis based on particle swarm optimization combined with K-means. The new image classification algorithm has been applied to MRI images to illustrate its applicability. The experimental results show that the proposed algorithm no t only avoids the local optima, but also has greater searching capability than particle swarm optimization.
Keywords :
image classification; particle swarm optimisation; MRI images; image classification; k-means; particle swarm optimization; Algorithm design and analysis; Art; Classification algorithms; Clustering algorithms; Image classification; Paper technology; Particle measurements; Particle swarm optimization; Pixel; Testing; component; formatting; insert; style; styling;
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
DOI :
10.1109/ICTM.2009.5413028
