Hooman Torabifard - Islamic Azad University, Najafabad Branch (IAUN).

In the last few years, with the progress of technology and computers and artificial intelligence entry into all kinds of scientific and industrial fields, the lifestyles of human life have changed and in general the way of humans live on earth has many changes and development.Until now, some of the changes has occurred in the context of digital images and image processing, and still continues. However beside with all the benefits, there have been disadvantages. One of these disadvantages is the multiplicity of images with high volume and data, focus of this paper is on improving and developing a method for summarizing and enhancing productivity of these images.The general method used for this purpose in this paper consists of a set of methods based on data obtained from image processing and using the PSO (Particle swarm optimization) algorithm, In the remainder of this paper, the method used is elaborated in detail.

Image summarization- Particle swarm optimization(PSO)- Image threshold-