Title :
Highlighted area extraction by using a basis function network
Author :
Sato, Takao ; Miki, T.
Author_Institution :
Graduate School of Life Science end Systems Engineering, Kyushu Institute of Technology
fDate :
June 28 2004-July 1 2004
Abstract :
This paper describes an effective image extraction method by using a basis function network. The basis function network is represented as a linear combination of weighted basis functions with different support size. The method which employs a compactly supported function as a basis is superior lo an image feature approximation in a local space. The weights are set to optimize the evaluation function. In this paper, the headline area extraction can be realized by specializing the evaluation function to the feature extraction. We try to extract headline areas from newspaper by using the proposed method and discuss its validity.
Keywords :
Graphics; Systems engineering and theory; basis function network; newspaper headlines extraction;
Conference_Titel :
Automation Congress, 2004. Proceedings. World
Conference_Location :
Seville
Print_ISBN :
1-889335-21-5