DocumentCode
176007
Title
Template selection algorithm for NR-based image feature extraction
Author
Zhengfa Hu ; Haixia Xiao ; Xin Zhen
Author_Institution
Sch. of Sci. Hubei, Automotive Ind. Inst., Shiyan, China
fYear
2014
fDate
19-21 Aug. 2014
Firstpage
1143
Lastpage
1147
Abstract
In this paper, a refined template selection algorithm was proposed for NR-based image feature extraction. The proposed method was devoted to reduce the computation complexity and to improve the recognition ability. Experimental results on several image databases strongly demonstrated the efficiency and effectiveness of the proposed method.
Keywords
computational complexity; feature extraction; feature selection; image recognition; NR-based image feature extraction; computation complexity; neural response; recognition ability improvement; template selection algorithm; Databases; Feature extraction; Image recognition; Semantics; TV; Training; Vectors; computation complexity; image feature extraction; neural response; recognition ability; template selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4799-5150-5
Type
conf
DOI
10.1109/ICNC.2014.6976002
Filename
6976002
Link To Document