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Skeleton extraction of boiler flame images based on mathematical morphology

机译:基于数学形态学的锅炉火焰图像骨架提取

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摘要

In this paper, a method and algorithm of skeleton extraction based on binary mathematical morphology is presented. Sequential structuring elements (SEs) is also studied, which is the key problem of skeleton extraction. The examples of boiler flame image processing show that the detected skeletons can present the geometric shape of flame images well.
机译:提出了一种基于二进制数学形态学的骨架提取方法和算法。还研究了顺序结构元素(SEs),这是骨骼提取的关键问题。锅炉火焰图像处理的实例表明,所检测的骨架可以很好地呈现火焰图像的几何形状。

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