Research of Image Retrieval Algorithm Based on PSO and a new sub-block idea

摘要：

Image retrieval is a hot technology in the field of computer technology nowdays.this paperpresents a novel image retrieval algorithm which is mainly used to solve problems for image retrieval in large image database.Firstly,preprocess the sample images,abstract the color histogram information of the partial image block and then calculate the sum of information.Extract several images and calculate their color histogram information as the first step.Calculate the Euclidean Distance of the color histogram information between sample image and each image in the database.Then search the similar images with PSO (Particle Swarm Optimization Algorithm),If the search results are satisfactory,output the images otherwise re-initialize the particle swarm and continue to search until you get the results that you are pleased with and at last output the images.

关键词： PSO color histogram image Retrieval PNSB

作者: Kaiping Wei Tingwen Lu Qing Zhang Wu Bi

作者单位: Department of Computer Science Central China Normal University 430079 Wuhan,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 431-435

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）