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图像段的最优四叉树。

Optimal quadtrees for image segments.

机构信息

Intelligent Systems Laboratory, Department of Computer Science, Wayne State University, Detroit, MI 48202.

出版信息

IEEE Trans Pattern Anal Mach Intell. 1983 Jan;5(1):77-83. doi: 10.1109/tpami.1983.4767348.

Abstract

Quadtrees are compact hierarchical representations of images. In this paper, we define the efficiency of quadtrees in representing image segments and derive the relationship between the size of the enclosing rectangle of an image segment and its optimal quadtree. We show that if an image segment has an enclosing rectangle having sides of lengths x and y, such that 2N-1 × max (x, y) ¿ 2N, then the optimal quadtree may be the one representing an image of size 2N × 2N or 2N+1 × 2N+1. It is shown that in some situations the quadtree corresponding to the larger image has fewer nodes. Also, some necessary conditions are derived to identify segments for which the larger image size results in a quadtree which is no more expensive than the quadtree for the smaller image size.

摘要

四叉树是图像的紧凑层次表示形式。在本文中,我们定义了四叉树在表示图像段方面的效率,并推导出图像段的包围矩形的大小与其最佳四叉树之间的关系。我们表明,如果图像段的包围矩形的边长为 x 和 y,且 2N-1 × max (x, y) ¿ 2N,则最佳四叉树可能是表示大小为 2N × 2N 或 2N+1 × 2N+1 的图像的四叉树。结果表明,在某些情况下,对应于较大图像的四叉树具有较少的节点。此外,还推导出了一些必要条件,以确定对于哪些段,较大图像尺寸的四叉树的成本不高于较小图像尺寸的四叉树。

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