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