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A Linear-Time Normalization of One-Dimensional Quadtrees

机译:一维四叉树的线性时间归一化

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Given a binary picture represented by a region quadtree, it is desirable to identify the amount of (rightward and downward) shifts of the foreground components such that it gives the minimum number of nodes of its quadtree. This problem is called "quadtree normalization." For this problem, it is un- known whether there exists a linear time algorithm with respect to the size of given images (i.e., the number of pixels). In this study, we investigate the "one-dimensional version" of the quadtree nor- malization problem, i.e., given a binary string represented by a regional binary tree, the task is to identify the amount of (right- ward) shift of the foreground components such that it gives the minimum number of nodes of its binary tree. We show that there exists a linear time algorithm for this version.
机译:给定由区域四叉树表示的二进制图片,期望识别前景分量的(向右和向下)移位的量,使得其给出其四叉树的最小数量的节点。此问题称为“四叉树归一化”。对于该问题,关于给定图像的尺寸(即,像素数)是否存在线性时间算法是未知的。在这项研究中,我们研究了四叉树归一化问题的“一维版本”,即,给定一个由区域二叉树表示的二进制字符串,任务是要确定四叉树规范化问题的(向右)偏移量。前景组件,使其给出其二叉树的最小节点数。我们证明了该版本存在一个线性时间算法。

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