DocumentCode :
2706785
Title :
Identification of artifacts in scenery images using color and line information by RBF network
Author :
Kosaka, Ryo ; Osana, Yuko
Author_Institution :
Tokyo Univ. of Technol., Hachioji, Japan
fYear :
2009
fDate :
14-19 June 2009
Firstpage :
1649
Lastpage :
1654
Abstract :
In this paper, we propose the identification method of artifacts in scenery images using color and line information by radial basis function (RBF) network. In the proposed method, the original image is divided into some areas based on color information, and whether or not artifacts are included for each divided area are judged using color and line information by the RBF network. We carried out a series of computer experiments and confirmed that the proposed method can identify the area including artifacts with considerable accuracy.
Keywords :
image colour analysis; image retrieval; learning (artificial intelligence); radial basis function networks; RBF network training; color information; line information; radial basis function network training; scenery image artifact identification; similarity-based image retrieval; Associative memory; Chaos; Image retrieval; Information processing; Information retrieval; Neural networks; Neurons; Radial basis function networks; Rivers; Snow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
ISSN :
1098-7576
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2009.5178642
Filename :
5178642
Link To Document :
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