Study on Content-Based of Image Retrieval

Chi Zhang () and Lei Huang ()
Additional contact information
Chi Zhang: Beijing Jiaotong University
Lei Huang: Beijing Jiaotong University

A chapter in LISS 2013, 2015, pp 591-594 from Springer

Abstract: Abstract Lots of Content Based Image Retrieval (CBIR) algorithms develops with the emergence of the information explosion time, which differs from each other by the feature used to describe the image content. In this paper, the color features and texture features are used for content-based image retrieval, during the implementation process I also attempt to add characteristics of the location of the color, and finally I decided to use the appropriate weighted color features and texture features for image retrieval, in some cases 80 % of the search results are satisfying.

Keywords: CBIR; Color histogram; Texture; Color coherence vector; Color feature (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_87

Ordering information: This item can be ordered from
http://www.springer.com/9783642406607

DOI: 10.1007/978-3-642-40660-7_87

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().