基于Internet的图像检索

Internet-Based Image Retrieval

随着Internet的迅速发展,在查找图像信息时因其信息资源量大而不能准确地找到所需的图像信息,所以一种基于Internet的图像搜索引擎也就应运而生了。提出利用爬虫技术实现可定位的图像搜索与获取,并分析和比较了基于内容和关键词的图像检索方法,讨论了上述方法在图像检索应用中的问题,进而提出将上述两种方法相结合的检索策略。与其它传统图像检索引擎相比,实验结果表明提出的策略能实现图像的定位检索,并有效提高图像检索的准确率。

Along with the rapid development of the internet, do not accurately retrieve the information due to the large amount of image information resources. So the internet based image search engines have emerged. The technology of WebSpider is proposed to locate, search and obtain images. As the foundation of this paper, the content and the keywords based image retrieval methods are analyzed and compared. In addition, the problems of their applications in image retrieval are discussed. Therefore, the combined strategy of these two methods is proposed for retrieval. The experimental results show that this image retrieval strategy can achieve image location and retrieval, and the retrieval accuracy outperforms other traditional image search engines.