Fuzzy Clustering Image Segmentation Based on Particle Swarm Optimization
Abstract: Image segmentation
refers to the technology to segment the image into different regions with different
characteristics and to extract useful objectives, and it is a key step from
image processing toimage analysis. Based on the comprehensive study of image
segmentation technology, this paperanalyzes the advantages and disadvantages of
the existing fuzzy clustering algorithms; integrates theparticle swarm
optimization (PSO) with the characteristics of global optimization and rapid
convergenceand fuzzy clustering (FC) algorithm with fuzzy clustering effects
starting from the perspective of particleswarm and fuzzy membership
restrictions and gets a PSO-FC image segmentation algorithm so as toeffectively
avoid being trapped into the local optimum and improve the stability and
reliability of clustering algorithm. The experimental results show that this
new PSO-FC algorithm has excellent image segmentation effects.
Author: Zhanshen Feng, Boping
Zhang
Journal Code: jptkomputergg150062