Robust texture features for still-image retrieval
Robust texture features for still-image retrieval
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DOI：
10.1049/ip-vis:20045185
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发表时间：
2005-12-01
期刊：
影响因子：
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通讯作者：
Rüeger, S
中科院分区：
文献类型：
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作者：
Howarth, P;Rüeger, S
详细评价了纹理特征在实例查询图像检索中的应用。三种完全不同的纹理特征类型的动机是i)统计，ii)心理和iii)信号处理的观点。这些特征是。对Corel集合的检索任务进行评估和调优，然后在TRECVID 2003和ImageCLEF 2004集合上进行评估和测试。对于后两者，研究了纹理特征与颜色特征相结合的效果。识别出表现特别好的纹理特征，证明它们在一系列数据集上提供了强大的性能。
A detailed evaluation of the use of texture features in a query-by-example approach to image retrieval is presented. Three radically different texture feature types motivated by i) statistical, ii) psychological and iii) signal processing points of view are used. The features were. evaluated and tuned on retrieval tasks from the Corel collection and then evaluated and tested on the TRECVID 2003 and ImageCLEF 2004 collections. For the latter two the effects of combining texture features with a colour feature were studied. Texture features that perform particularly well are identified, demonstrating that they provide robust performance across a range of datasets.