对数极变换的离散算法

Qi Wang, Kejie Zhang, You-yi Jiang, Xianze Xiong
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引用次数: 1

摘要

对数极变换(LPT)是空间变视理论的一个主要模型。为了获取映射变换矩阵的图像,本文分别研究了LPT的距离变换和角度变换。详细探讨了LPT离散算法的实现,指出在距离轴与角轴的变换中存在一个一一映射环。同时,提出了一种新的基于统一一对一映射环的变换算法。此外,还提出并研究了LPT的逆变换算法。同时给出了一些实际应用
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The discrete algorithm of log-polar transformation
Log-polar transformation (LPT) is a primary model of the space-variant vision theory. In the paper, in order to acquire images of mapping transformation matrix, the distance transformation and angle transformation of LPT are researched respectively. The implementation of the discrete algorithm of LPT is explored in details, pointing out that there is a one-to-one mapping ring in the transformation of distance axis and angle axis. Meanwhile, a new transformation algorithm based on the united one-to-one mapping ring is put forward. In addition, the algorithm of the reverse transformation of LPT is also presented and researched. At the same time some practical applications are given
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