DocumentCode :
2409579
Title :
Research of Neural Networks in Image Anomaly Identification Application
Author :
Wei, Xianmin
fYear :
2011
fDate :
21-23 Oct. 2011
Firstpage :
133
Lastpage :
136
Abstract :
Images anomaly refers to a relatively constant image, which suddenly appeared continuous monitoring of abnormal signs, and its online identification is widely used in public security, environment, transportation and production process monitoring. This paper studied online identification algorithms and implementation techniques of image anomaly, and proposed the learning algorithm based on BP neural network for anomly identification.
Keywords :
Algorithm design and analysis; Educational institutions; Gray-scale; Histograms; Image color analysis; Probability density function; Training; BP neural network; image analysis; image comparison; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2011 International Conference on
Conference_Location :
Chengdu, China
Print_ISBN :
978-1-4577-1540-2
Type :
conf
DOI :
10.1109/ICCIS.2011.10
Filename :
6086152
Link To Document :
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