Title :
Simplification of texture in 3D maps
Author :
Okuda, Masahiro ; Khan, Ishtiaq Rasool
Author_Institution :
Dept. of Inf. & Media Sci., Kitakyushu Univ., Japan
Abstract :
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.
Keywords :
Hough transforms; filtering theory; image colour analysis; image representation; image segmentation; image texture; quantisation (signal); 3D map; Hough transform; anisotropic diffusion; filtering; image color representation; image segmentation; numerical technique; quantization; texture simplification; Anisotropic magnetoresistance; Color; Data visualization; Environmental management; Geometry; Histograms; Image segmentation; Quantization; Solid modeling; Urban planning; Color Quantization; Image Segmentation; Urban Model Simplification;
Conference_Titel :
Advanced Information Networking and Applications, 2006. AINA 2006. 20th International Conference on
Print_ISBN :
0-7695-2466-4
DOI :
10.1109/AINA.2006.310