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Rectangular based binary image representation: Theory, applications, and dataset introduction

机译:基于矩形的二进制图像表示:理论,应用和数据集介绍

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This paper presents the theory and applications of rectangular based binary image representation (RBIR). An automatic method is proposed to convert original binary image into RBIR. Some applications directly derived from RBIR are introduced. RBIR lossless compression is comparable with the run-length encoding (RLE) compression. Efficient algorithms are proposed for computing the dilation/erosion from the RBIR. Unfortunately, converting original image into the RBIR is not a fast process. Hence, a dataset is provided which researchers can use to report their results.
机译:本文介绍了基于矩形的二进制图像表示(RBIR)的理论和应用。提出了一种将原始二进制图像转换为RBIR的自动方法。介绍了一些直接从RBIR派生的应用程序。 RBIR无损压缩与游程长度编码(RLE)压缩相当。提出了用于从RBIR计算膨胀/侵蚀的有效算法。不幸的是,将原始图像转换为RBIR并不是一个快速的过程。因此,提供了一个数据集,研究人员可以用来报告其结果。

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