Comparative Study of Color Histograms as Global Feature for Image Retrieval

被引：0
|
作者：
Ljubovic, Vedran [1 ]
Supic, Haris [1 ]
机构：
[1] Univ Sarajevo, Fac Elect Engn Sarajevo, Sarajevo 71000, Bosnia & Herceg
来源：
2013 36TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO) | 2013年
关键词：
content-based image retrieval; histograms; histogram distance; color spaces; query-by-example;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Color histograms are one of the earliest and best known image features used in Content-Based Image Retrieval (CBIR). There is a wealth of scientific work on this topic. However, different papers vary in the specific ways of determining histograms and distance between them. In this paper authors attempt to classify various types of histograms used in literature and compare them using contemporary datasets and metrics for evaluation. Histograms are compared based on their retrieval performance as well as resource usage.
引用
收藏
页码：1059 / 1063
页数：5
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