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.
Keywords: image segmentation, fuzzy clustering, particle swarm optimization
Author: Zhanshen Feng, Boping Zhang
Journal Code: jptkomputergg150062

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