多特征方法:一个集成的基于内容的图像检索系统

2011 2nd International Symposium on Intelligence Information Processing and Trusted Computing Pub Date : 2011-10-22 DOI:10.1109/IPTC.2011.18

Chen Liu, Zhou Wei

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引用次数: 10

摘要

基于特征从大量图像集合中检索所需或相似图像的过程称为基于内容的图像检索(CBIR)。本文提出了一种基于组合特征和加权相似度的综合CBIR系统。这些特性包括颜色、纹理和形状的视觉特性以及关键的文本元数据。一些实验模拟表明了所提出的检索方法的准确性和有效性。

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Multi-feature Method: An Integrated Content Based Image Retrieval System

The process of retrieving desired or similar images from a large collection of images on the basis of features is referred as Content Based Image Retrieval (CBIR). In this paper, a integrated CBIR system is proposed using combined features and weighted similarity. The features include visual features of color, texture and shape and key text metadata. Some experimental simulations have been presented to show the accuracy and efficiency of the proposed retrieval method.

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2011 2nd International Symposium on Intelligence Information Processing and Trusted Computing

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