应用技术.doc 关键词： 运动目标; 动态阈值; 最大类间方差法; 算法效率 [gap=796]Keywords: moving target; dynamic threshold; Otsu method; algorithm efficiency
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otsu ' method otsu法
2-D Otsu method 二维最大类间方差法
two-dimensional otsu method 二维otsu方法
one-dimensional Otsu method 一维Otsu法
otsu thresholding method otsu阀值法
otsu s method otsu方法
This paper proposes a moving car segmentation method based on improved OTSU method.
提出一种基于改进OTSU方法的运动车辆分割算法。
Otsu method is a common and efficient image segmentation algorithm, and has been used in many various real-time systems.
最大类间方差法是一种常用而有效的图像分割算法，并已在许多实时系统中采用。
Based on the Rough Set Theory, the image data is simplified and classified into targets and backgrounds with the combination of the OTSU method.
在图像中利用粗糙集理论对图像特征数据进行有效约简，并和最大类间方差法结合，将图像分为目标和背景两部分。
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