OTSU threshold method has a very wide range of applications in the image segmentation for its simplicity and intuitive.
OTSU阈值方法以其简洁性和直观性在图像分割中有着十分广泛的应用。
The traditional OTSU threshold method has been improved in order to establish a good foundation for feature extraction and the fitting of 3D in image process with calibration plate.
本文利用改进的OTSU阈值方法测量人体空间三维尺寸的带标定框图像，为后续的特征点提取和三维拟合计算打下良好的基础。
Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.
利用最大类间方差法（OTSU）求出对图像进行二值化处理的最佳阈值，从而进行图像二值化处理。
Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.
利用最大类间方差法（OTSU）求出对图像进行二值化处理的最佳阈值，从而进行图像二值化处理。
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