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

被引：0

作者：

Wei, Kaiping ^{[1
]}

Lu, Tingwen ^{[1
]}

Zhang, Qing ^{[1
]}

Bi, Wu ^{[1
]}

机构：

[1] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China

来源：

2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 1 | 2010年

关键词：

PSO; color histogram; image Retrieval; PNSB;

D O I：

10.1109/ICACC.2010.5486977

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：431 / 435

页数：5

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