Extraction of Road from Color Map Image


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 4, No. 3, pp. 871-879, Mar. 1997
10.3745/KIPSTE.1997.4.3.871,   PDF Download:

Abstract

The conversion of printed maps into computerized data bases in an enormous task. Thus the automation of the conversion process is essential. Efficient computer representation of printed maps line drawings depends on codes assigned to characters, symbols, and vector representation of the graphics. In many cases, maps are constructed in a number of layers, where each layer is printed in a distinct color, and it represents a subset of the map information. in order to properly represent road information from color map images, an automatic road extraction algorithm is proposed. Road image is separated from graphics by color segmentation, and then restored by the proposed concurrent conditional dilation operation. The internal and external noise of the road image is eliminated by opening and closing operation. By thinning and vectorizing line segments, the desired road information is extracted.


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Cite this article
[IEEE Style]
A. Chang, C. W. Hyuk, R. S. Burm, "Extraction of Road from Color Map Image," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 4, no. 3, pp. 871-879, 1997. DOI: 10.3745/KIPSTE.1997.4.3.871.

[ACM Style]
Ahn Chang, Choi Won Hyuk, and Rhee Sang Burm. 1997. Extraction of Road from Color Map Image. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 4, 3, (1997), 871-879. DOI: 10.3745/KIPSTE.1997.4.3.871.