Color map image segmentation based on color model and structure features

Ling Guo; Xiaolan Wang; Xianzhong Zhou

doi:10.1117/12.539065

25 September 2003 Color map image segmentation based on color model and structure features

Ling Guo, Xiaolan Wang, Xianzhong Zhou

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539065
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

One important step in map vectorization is separation of geograhical information in a cartographic map. Such a fundamental task is not only time-consuming but also laborious. To get an overall understanding of this task and explain why it's hard to achieve a good result, a summary about the characteristics of color map segmentation is presented first in this paper. Then a new algorithm, featuring practicability and adaptability to the variation in brightness and contrast of images, is proposed directly based on RGB color model. Meanwhile, structure features are also used to improve the separation result by connecting broken lines. Experiments on many real map images prove that the algorithm realizes automatic segmentation of color maps and produces a fine result which can be used in automatic data collection without much further processing.

Citation Download Citation

Ling Guo, Xiaolan Wang, and Xianzhong Zhou "Color map image segmentation based on color model and structure features", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539065

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