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中文摘要：
Otsu是图像处理领域一种常见的图像分割方法。为了解决传统的三维Otsu法时间复杂度高、抗噪性低等缺点,提出了利用直方图投影技术和直方图分解技术对三维直方图降维,将其拆分成一个一维直方图和一个二维直方图,分别用一维Otsu法和二维曲线型Otsu法求阈值,再用获得的阈值确定图像点的归类。实验对比结果表明：该方法分割效果较好,运行时间短,能满足实时性的要求。
英文摘要：
Otsn image processing is a common method for image segmentation. In order to solve problem of high time complexity and low resistance to noise ratio of faults of traditional three-dimensional Otsu method, propose using histogram projection technology and histogram decomposition technique for three dimensional histogram dimensionality reduction, it is split into a one-dimensional histogram and a two-dimensional histogram, respectively use one-dimensional Otsu method and two-dimensional curve Otsu method to resolve threshold, and with the threshold value to determine image point classification. Experimental comparison results show that segmentation effect of the method is good, operation time is short, can satisfy requirement of real-time.
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