A range image segmentation algorithm based on Gaussian mixture model of surface normal is proposed.
提出了一种基于表面法向的高斯混合模型的距离图像分割算法。
Using knowledge which has been known beforehand in Grads Range, this paper proposes an image segmentation method which can solve the problem.
针对传统分水岭变换对图像进行分割时常见的过度分割情况，提出了利用先验知识对梯度幅度图像进行处理的方法。
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。
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