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20th International Conference on Advanced Information Networking and Applications - Volume 2 (AINA'06)
Simplification of Texture in 3D Maps
Vienna, Austria
April 18-April 20
ISBN: 0-7695-2466-4
Masahiro Okuda, University of Kitakyushu, Japan
Ishtiaq Rasool Khan, University of Kitakyushu, Japan
In this paper, we present a numerical technique for simplification of the texture of 3D maps. In the simplification process, we first select textures that can be segmented by straight lines using Hough transform. The selected texture images are simplified by the Hough transform. The other texture are filtered by the anisotropic diffusion and then the details are removed to reduce their data sizes. The representative colors of the image are chosen from the image, and the image is quantized based on those colors. The simplified image, with all major features of the original image preserved, has much smaller size as compared to the original.
Index Terms:
Color Quantization, Image Segmentation,Urban Model Simplification
Citation:
Masahiro Okuda, Ishtiaq Rasool Khan, "Simplification of Texture in 3D Maps," aina, vol. 2, pp.678-682, 20th International Conference on Advanced Information Networking and Applications - Volume 2 (AINA'06), 2006
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