又一个基于内容的图像检索系统

S. Ait-Aoudia, R. Mahiou, Billel Benzaid
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引用次数: 15

摘要

视觉是人类感知的中心。图像无处不在。现实生活中的应用程序产生并使用大量不同类型的图像。在大型数据库中检索具有某些特征的图像是一项至关重要的任务。我们需要索引和检索图像的机制。CBIR(基于内容的图像检索)系统通过使用图像查询自动提取和搜索的物理特征对图像进行索引来执行这些任务。我们将提出一个名为YACBIR (Yet Another CBIR)的CBIR系统,它结合了自动提取的几种属性(颜色、纹理和兴趣点)来索引和检索图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
YACBIR: Yet Another Content Based Image Retrieval System
Vision is central in human perception. Images are everywhere. Real life applications produce and use huge amounts of different types images. Retrieving an image having some characteristics in a big database is a crucial task. We need then mechanisms for indexing and retrieving images. CBIR (Content Based Image Retrieval) systems perform these tasks by indexing images using the physical characteristics automatically extracted and searching by an image query. We will present a CBIR system named YACBIR (Yet Another CBIR) that combines several properties (color, texture and points of interest) extracted automatically to index and retrieve images.
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