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
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;
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
DOI :
10.1109/ICNC.2014.6976002
