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An integrated method of raster and vector for generating a Voronoi diagram based on linear quadtree structure

机译:一种基于线性Quadtree结构生成Voronoi图的光栅和向量的集成方法

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Voronoi Diagram is a fundamental geometric structure of space partition. To generate the Voronoi diagrams of the line or polygon objects, the raster method is more convenient than the vector method, while raster generation works better with the generation of full-feature Voronoi Diagram. But for the vector data, the computation in the raster method is realized based on the partition of space. So the generation algorithm is high level of space complexity and the obtaining the neighbors of pixel is very difficult. In order to resolve these problems, a generation of Voronoi Diagram with raster and vector properties based on linear quadtree structure is introduced. The main principle is to reduce the space complexity produced by the partition of space and obtains the neighbors by the spatial index which the linear quadtree structure itself is regarded as. The computing model of backward dilation based on mathematical morphology and several optimized computing characteristics of the model are proposed. The test proves that the time complexity of the method is lower than that of uniform grid structure and that of common quadtree structure, and the space complexity is lower than that of uniform grid structure.
机译:Voronoi图是空间分区的基本几何结构。要生成线路或多边形对象的voronoi图,栅格方法比矢量方法更方便,而栅格生成效果更好地生成全功能Voronoi图。但是对于矢量数据,基于空间的分区实现栅格方法中的计算。因此,生成算法是高水平的空间复杂度,并且获得像素的邻居非常困难。为了解决这些问题,介绍了一种基于线性四分之一结构的光栅和矢量属性的voronoi图。主要原理是减少由空间分区产生的空间复杂性,并通过线性四分之一结构本身被视为的空间指数获得邻居。提出了基于数学形态学的反向扩张的计算模型及模型的几种优化计算特性。该测试证明了该方法的时间复杂性低于均匀电网结构的时间复杂性,并且常见的四边形结构的时间复杂性低于均匀网格结构的空间复杂性。

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