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A splitting algorithm for touched particle based on distance map and particle shape information

机译:基于距离图和粒子形状信息的接触粒子分裂算法

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This paper presents how to split touching particles. The algorithm mainly consists of two sub-algorithms; they are splitting based on concavities of boundaries and splitting based on object skeleton histogram. It first traces particle boundaries based on discontinuities, then splits touching parts of particles based on shape information, where no gray information can be used, by using morphological mathematics method (e.g. distance map) combining particle shape information (information is classified by using fuzzy mathematics). After that, the algorithm split the remaining touching parts by using the information of concavities of particle boundaries The algorithm can automatically delineate particles not only on a simple image (a few particles touching) and also on a complex image (many particles touching together). The algorithm has been tested in a laboratory; it works well for various particle images.
机译:本文介绍了如何分割接触粒子。该算法主要由两个子算法组成。它们根据边界的凹面进行拆分,并根据对象骨架直方图进行拆分。它首先根据不连续性来跟踪粒子边界,然后根据形态信息将粒子的接触部分分割开,其中无法使用灰度信息,方法是使用形态数学方法(例如距离图)结合粒子形状信息(信息通过模糊数学进行分类) )。此后,该算法通过使用粒子边界的凹面信息来分割其余的接触部分。该算法不仅可以在简单图像(少数粒子接触)上而且可以在复杂图像(许多粒子在一起接触)上自动划定粒子。该算法已在实验室进行了测试;它适用于各种粒子图像。

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