An operation efficiency analysis on breadth first quadtree

Geuk Lee, H. Hwang
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引用次数: 1

Abstract

This paper proposes the method which traverses and codes the quadtree by breadth first. Quadtree coded by breadth first (breadth first quadtree) has the same compression ratio with the quadtree coded by depth first (depth first quadtree). In breadth first quadtree, nodes in high level and low level appear in level by level, not at random. This makes it better for operation efficiency, especially in geometric property operation (perimeter calculation, area calculation, search, object labelling, neighbor finding) which needs long operation time. In this paper we show the advantage of breadth first quadtree by the worst case analysis and the general case analysis.<>
宽度第一四叉树的运算效率分析
本文提出了先按宽度对四叉树进行遍历和编码的方法。宽度优先编码的四叉树(宽度优先四叉树)与深度优先编码的四叉树(深度优先四叉树)具有相同的压缩比。在宽度优先四叉树中,高层和低层节点逐层出现,而不是随机出现。这使得运算效率得到了提高,特别是需要较长运算时间的几何属性运算(周长计算、面积计算、搜索、对象标记、邻居查找)。本文通过最坏情况分析和一般情况分析来说明宽度优先四叉树的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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