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