平滑的
光栅图形
计算机科学
压缩(物理)
数据压缩
算法
直线(几何图形)
矢量化(数学)
光栅扫描
人工智能
计算机视觉
数学
并行计算
几何学
复合材料
材料科学
作者
Eugene Bodansky,Alexander Gribov,Morakot Pilouk
标识
DOI:10.1007/3-540-45868-9_22
摘要
This paper presents analyses of different methods of postprocessing lines that have resulted from the raster-to-vector conversion of black and white line drawing. Special attention was paid to the borders of connected components of maps. These methods are implemented with compression and smoothing algorithms. Smoothing algorithms can enhance accuracy, so using both smoothing and compression algorithms in succession gives a more accurate result than using only a compression algorithm. The paper also shows that a map in vector format may require more memory than a map in raster format. The Appendix contains a detailed description of the new smoothing method (continuous local weighted averaging) suggested by the authors.
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