• Sathish Kumar Lalam
• Dr S. Jhansi Rani

Particle swarm optimization is the nature inspired computational search and optimization approach which was developed on the basis of behaviour of swarm. Recently each and every field of research is utilizing the properties of PSO. One of the popular field of research is image segmentation which is also fastest growing field. Taking the advantages of combining PSO with different image segmentation technique many researchers has proposed various research papers with enhancement of various parameters. In this paper we surveyed some paper and try to provide recent trends and techniques involved in image segmentation with PSO

Particle swarm optimization, Image segmentation, Thresholding, Contrast Enhancement, Fuzzy system, Clustering, Genetic Algorithm.

"Image restoration algorithm based on improved Particle swarm optimization ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.735-741, June 2019, Available :http://www.jetir.org/papers/JETIR1907411.pdf

"Image restoration algorithm based on improved Particle swarm optimization ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp735-741, June 2019, Available at : http://www.jetir.org/papers/JETIR1907411.pdf