DocumentCode :
3502692
Title :
MRC image recognition based on neural network
Author :
Li Wenjuan ; Cheng Huaiying ; Wang Yuzhi ; Fu Min
Author_Institution :
Sch. of Electr. & Electron. Eng., Harbin Univ. of Sci. &Technol., Harbin, China
Volume :
02
fYear :
2013
fDate :
16-18 Aug. 2013
Firstpage :
1039
Lastpage :
1042
Abstract :
Traditional image during MRC measurement needs eyes to judge, which exists the subjective error. This paper describes theoretical framework, design and testing process of objective measurement MRC. By using BP neural network model, MRC image can be recognized automatically and reduces subjective error. The experimental results show that three layers BP neural networks can effectively identify the image by choosing appropriate characteristic value.
Keywords :
image recognition; neural nets; BP neural network model; BP neural networks; MRC image recognition; MRC measurement; objective measurement MRC; subjective error; Biological neural networks; Educational institutions; Image recognition; Image resolution; Imaging; Psychology; BP neural network; MRC; image recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
Type :
conf
DOI :
10.1109/MIC.2013.6758137
Filename :
6758137
Link To Document :
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