Identification of artifacts in scenery images using color and line information by RBF network

Authors:
Ryo Kosaka;Yuko Osana
Affiliations:
Tokyo University of Technology, Hachioj, Tokyo, Japan;Tokyo University of Technology, Hachioj, Tokyo, Japan
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

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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.