基于灰度分类的图像搜索引擎  

Image Search Engine Based on Grey-Classification

作　　者：魏正曦[1] 邱玲[1] 赵攀[1] 

机构地区：[1]四川理工学院计算机学院,四川自贡643000

出　　处：《四川理工学院学报（自然科学版）》2014年第1期37-40,共4页Journal of Sichuan University of Science & Engineering(Natural Science Edition)

基　　金：人工智能四川省重点实验室项目(2011RYY03)

摘　　要：图像搜索是下一代搜索引擎迫切需要解决的课题,在对图像搜索引擎的主要功能和关键技术进行了分析和讨论的基础上,详细剖析了图像搜索引擎设计中任务分析、解决方案、感受哈希算法、实现等关键过程,并实现了一个基于灰度值分类的图像搜索引擎。实际试验表明,本图像搜索引擎的搜索速度较快、性能稳定,具有较好的搜索效果。The image search is an urgent problem of technologies of the image search engine are analyzed and analysis, solutions, perception hash algorithm, as well as the next generation of search engines. The main functions and key discussed in the article. Next, the main contents including task implementation methods and so on, are discussed. As a result, an image search engine based on gray-classification is designed and stable performance, and basically achieves the desired . The tests show that the image search engine has very fast speed design requirements.

关 键 词：图像搜索引擎 网络爬虫 图像识别 感知哈希算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]