商品图像局部兴趣点检索系统的研究与实现

The research and implementation of The Commodity local image interest retrieval system

随着互联网的普及和电子商务日益发展,商品图像检索技术已经越来越受瞩目,为了能够在众多的商品图像中高效、快捷的搜索出购买者感兴趣的商品,利用MATLAB语言开发了基于商品局部兴趣点的图像检索系统,并对该系统进行了测试,测试结果表明该系统不但运行速度快、稳定性好,而且通过对不同情况下各商品兴趣点的测试结果进行比较、分析,发现该商品图像局部兴趣点检测系统具有很好的鲁棒性。因此该系统具有一定推广价值和实用价值。

With the growing popularity of internet technology and e-commerce commodity.Image retrieval technology has been more and more popular.In order to search the commodity image efficiently and quickly which the buyers interested in.A system of the image retrieval based on Commodity image interest points has been developed using the MATLAB language in this paper.It is tested that the system not only has fast running speed,good stability,And it is proved that the image retrieval system has good effect for Commodity image interest points extraction comparing and analyzing the test result.So the system has a certain popularization value and practical value.