| 基于分块小波微粒群混合的图像智能检索 |
| |
| 引用本文： | 罗涛华,沈显君. 基于分块小波微粒群混合的图像智能检索[J]. 湖北大学学报(自然科学版), 2010, 32(4): 379-383 |
| |
| 作者姓名： | 罗涛华 沈显君 |
| |
| 作者单位： | [1]武汉工业学院计算机与信息工程系,湖北武汉430023 [2]华中师范大学计算机科学系,湖北武汉430079 |
| |
| 基金项目： | 湖北省教育厅重点科研项目 |
| |
| 摘 要： | 考虑到目前许多基于颜色直方图图像检索系统的搜索质量往往相当有限,提出一种融合分块小波直方图相似度检索和粒子群优化的新方法.该算法引入小波技术,提高了特征提取的有效性,采用分块技术扩展了图像检索性能,结合微粒群算法进行智能搜索加快了算法的执行速度.实验结果证实,该算法对图像数据库的相似度搜索是切实可行的,为大型图像数据库的智能图像检索问题提供解决方案.
|
| 关 键 词： | 图像相似度检索 分块小波变换 粒子群优化 颜色直方图 |
Image intelligent retrieval with blocking wavelet and PSO |
| |
| LUO Taohua,SHEN Xianjun. Image intelligent retrieval with blocking wavelet and PSO[J]. Journal of Hubei University(Natural Science Edition), 2010, 32(4): 379-383 |
| |
| Authors: | LUO Taohua SHEN Xianjun |
| |
| Affiliation: | 1.Computer and Information Engineering,Department of Wuhan Polytechnic University,Wuhan 430023,China; 2.Department of Computer Science,Central China Normal University,Wuhan 430079,China) |
| |
| Abstract: | Considering that the quality of the outcomes provided by color histogram-based image search was usually rather limited when it was applied to fast similarity search in the large image databases,which was based on blocking wavelet-histogram image similarity retrieval method and particle swam optimization（PSO）,an innovative approach was proposed.The experimental results showed that this algorithm by combining blocking wavelet transformation and particle swarm optimization with color histogram-based image retrieval could get the higher retrieval performance and the quicker speed to the similarity search in images database. |
| |
| Keywords: | image similarity retrieval blocking wavelet transformation particle swam optimization color histogram |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
