DocumentCode
2871067
Title
A Research of Image Retrieval Based on Combined Feature
Author
Peng, Yuqing ; Lv, Hua ; Jia, Lian ; Shi, Lukui ; Li, Tiejun
Author_Institution
Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin, China
fYear
2009
fDate
1-3 Nov. 2009
Firstpage
327
Lastpage
329
Abstract
In content-based image retrieval, image has various inherent aspects which reflect its contenets; so how to organize these contents effectively to improve the performance is a valuable research topic. In this paper, a new kind of image retrieval method is proposed which is based on the combined feature of histograms, gray-level co-occurrence matrix and moment invariants. The result of experiment demonstrates that image retrieval based on combined feature has a very good effect.
Keywords
content-based retrieval; image colour analysis; image retrieval; matrix algebra; combined feature; content-based image retrieval; gray-level co-occurrence matrix; histograms; moment invariants; Colored noise; Content based retrieval; Histograms; Image retrieval; Information retrieval; Intelligent networks; Intelligent systems; Pixel; Quantization; Shape; color feature; combined feature; image retrieval; shape feature; texture feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-5557-7
Electronic_ISBN
978-0-7695-3852-5
Type
conf
DOI
10.1109/ICINIS.2009.90
Filename
5366647
Link To Document