PixSearcher: Searching Similar Images in Large Image Collections through Pixel Descriptors
PixSearcher: Searching Similar Images in Large Image Collections through Pixel Descriptors
复制标题
PixSearcher：通过像素描述符在大图像集合中搜索相似图像
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Leland Wilkinson
中科院分区：
文献类型：
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作者：
Dang Tuan Nhon;Leland Wilkinson
在天文学、医学、地质学、海洋学和预防犯罪等许多应用领域，搜索和挖掘庞大的图像数据库已经成为一项艰巨的任务。我们介绍了一个新的图像索引和检索系统，PixSearcher，计算图像描述符从像素阈值图像在不同的水平。与光栅技术（使用整个像素光栅进行距离计算）相比，PixSearcher使用一小组描述符，因此可以在合理的时间内处理大量图像集合。我们使用来自不同领域的基准图像数据库来评估PixSearcher与知名图像检索技术的性能。
Searching and mining huge image databases has become a daunting task for many application areas such as astronomy, medicine, geology, oceanography, and crime prevention. We introduce a new image indexing and retrieval system, PixSearcher, that computes image descriptors from pixels obtained by thresholding images at different levels. In contrast to raster techniques (which use the entire pixel raster for distance computations), PixSearcher uses a small set of descriptors and consequently can handle large image collections within reasonable time. We use benchmark image databases from different domains to evaluate PixSearcher’s performance versus well-known image retrieval techniques.