一种有效的基于图像分类与检索的行李检索系统

Feng Rao, Yanyun Zhao, A. Cai
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引用次数: 0

摘要

本文提出了一种基于图像分类与检索的高效行李检索系统。在这个系统中,我们可以自动登记和提取行李。我们在配准图像时引入了分类,提高了检索速度。采用分块HSV直方图和尺度不变特征变换(SIFT)进行图像检索。实验表明,该系统具有速度快、精度高的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An effective luggage searching system based on image classification and retrieval
In this paper, we propose an efficient luggage searching system based on image classification and retrieval. In this system, we can register and retrieve the luggage automatically. We bring in classification to register images so as to increase the retrieval speed. The Block HSV histogram and the scale invariant feature transform (SIFT) are used for image retrieval. Experiments show that the proposed system has a fast speed and high precision.
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