Detection and Reconstruction of Road Information from Maps by Optical Neural Network


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 4, No. 3, pp. 859-870, Mar. 1997
10.3745/KIPSTE.1997.4.3.859,   PDF Download:

Abstract

Computerized map reading system is one of the most important application areas in the image processing. A map database can be used for a wide range of social activities such as natural resource assessment, regional planning, and traffic navigation system. The road segments, however, are extracted as broken in the area where they are overlapped and interrupted by characters and symbols. Few approaches have been taken to complete road segments interrupted by map symbols. In this paper, a novel applied to 1/25,000 scaled maps published by the Geographical Survey Institute of Ministry of Construction of Korea. It will be shown that the system can extract and reconstruct road segments for the various areas of maps successfully.


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Cite this article
[IEEE Style]
L. W. Beom, H. H. Jung, K. W. Hyun, "Detection and Reconstruction of Road Information from Maps by Optical Neural Network," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 4, no. 3, pp. 859-870, 1997. DOI: 10.3745/KIPSTE.1997.4.3.859.

[ACM Style]
Lee Woo Beom, Hwang Ha Jung, and Kim Wook Hyun. 1997. Detection and Reconstruction of Road Information from Maps by Optical Neural Network. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 4, 3, (1997), 859-870. DOI: 10.3745/KIPSTE.1997.4.3.859.