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Incorporating shape into histograms for CBIR

机译:将形状合并到CBIR的直方图中

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摘要

This paper describes an indexing system for use in Content Based Image Retrieval. The standard colour histogram approach is simple, efficient, and robust. However, it does not include shape information, which leads to problems (e.g., many-to-many mappings). To remedy this, we use additional features in an attempt to incorporate shape and textual information to the index key. Our experiments showed that the combination of colour, texture, distance and orientation histograms gave approximately 10% improvement of recall over the standard colour histogram. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 24]
机译:本文介绍了一种用于基于内容的图像检索的索引系统。标准的颜色直方图方法简单,有效且稳定。但是,它不包括形状信息,这会导致问题(例如,多对多映射)。为了解决这个问题,我们尝试使用其他功能以将形状和文本信息合并到索引键中。我们的实验表明,颜色,纹理,距离和方向直方图的组合比标准颜色直方图的召回率提高了约10%。 (C)2001模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:24]

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