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An Improved OTSU Algorithm Used in Image Sengmentating of Soft-PCB Image

机译:一种改进的Soft-PCB图像图像迭代中的改进OTSU算法

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In order to segment target object from soft-PCB image, an improved OTSU algorithm is proposed by adjusting gray range of OTSU in this paper. First computing image histogram, then counting the number and value of histogram peak, getting the area and value of high light region, and obtaining the proportion of two low gray peak, finally judging the image pattern according the acquired results, if the image is satisfied with the pattern conditions and we perform the OTSU algorithm with modified gray range, otherwise with initial gray range. The experiment results show that the proposed algorithm is efficiently and quickly to be used in soft PCB hole-punching machine.
机译:为了将目标对象从软PCB图像进行段,通过调整本文的灰色范围的灰范围来提出改进的OTSU算法。第一计算图像直方图,然后计算直方图峰值的数量和值,获得高光区域的区域和值,并获得两个低灰度峰值的比例,最终根据所获取的结果判断图像模式,如果满足图像通过模式条件,我们使用修改的灰度范围执行OTSU算法,否则初始灰度范围。实验结果表明,所提出的算法有效快速地用于软PCB空穴冲孔机中。

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