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Proceedings Paper

Clustering of color map pixels: an interactive approach
Author(s): Yiu Sang Moon; Franklin T. Luk; K. N. Yuen; Hoi Wo Yeung
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Paper Abstract

The demand for digital maps continues to arise as mobile electronic devices become more popular nowadays. Instead of creating the entire map from void, we may convert a scanned paper map into a digital one. Color clustering is the very first step of the conversion process. Currently, most of the existing clustering algorithms are fully automatic. They are fast and efficient but may not work well in map conversion because of the numerous ambiguous issues associated with printed maps. Here we introduce two interactive approaches for color clustering on the map: color clustering with pre-calculated index colors (PCIC) and color clustering with pre-calculated color ranges (PCCR). We also introduce a memory model that could enhance and integrate different image processing techniques for fine-tuning the clustering results. Problems and examples of the algorithms are discussed in the paper.

Paper Details

Date Published: 24 December 2003
PDF: 12 pages
Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); doi: 10.1117/12.504704
Show Author Affiliations
Yiu Sang Moon, Chinese Univ. of Hong Kong (China)
Franklin T. Luk, Chinese Univ. of Hong Kong (China)
Rensselaer Polytechnic Institute (United States)
K. N. Yuen, Chinese Univ. of Hong Kong (China)
Hoi Wo Yeung, Chinese Univ. of Hong Kong (China)


Published in SPIE Proceedings Vol. 5205:
Advanced Signal Processing Algorithms, Architectures, and Implementations XIII
Franklin T. Luk, Editor(s)

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