Feature Extraction of Road Information by Optical Neural Field


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 1, No. 4, pp. 452-460, Nov. 1994
10.3745/KIPSTE.1994.1.4.452,   PDF Download:

Abstract

Maps are one of the most complicated types of drawings, Drawing recognition technology is not yet sophisticated enough for automated map reading. To automatically extract a road map directly from more complicated topographical maps, a very complicated algorithm is needed, since the image generally involves such complicated patterns as symbols, characters, residential sections, rivers, railroads, etc. This paper describes a new feature extraction method based on the human optical neural field. We apply this method to extract complete set of road segments from topographical maps. The proposed method successfully extract road segments from various areas.


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Cite this article
[IEEE Style]
S. J. Woo, L. W. Jae, L. H. Sei, "Feature Extraction of Road Information by Optical Neural Field," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 1, no. 4, pp. 452-460, 1994. DOI: 10.3745/KIPSTE.1994.1.4.452.

[ACM Style]
Sohn Jin Woo, Lee Wook Jae, and Lee Haing Sei. 1994. Feature Extraction of Road Information by Optical Neural Field. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 1, 4, (1994), 452-460. DOI: 10.3745/KIPSTE.1994.1.4.452.