In performance and visual quality, the algorithm is better than the wavelet denoising based on discrete orthogonal wavelet transform and the conditional median value filtering method.

算法在性能指标和视觉质量上均优于基于离散正交小波变换的阈值去噪方法和传统的中值滤波法。

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In this paper a method of using discrete orthogonal polynomials to fitting local surface of object in order to detect characteristics of range images is presented.

本文介绍一种利用离散正交多项式进行物体表面局部曲面拟合以检测物体的特征的方法。

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The whole process can be divided into two steps: First, the method of surface fitting with discrete orthogonal polynomial is applied to detection of edge position.

整个处理过程分为两步：第一，采用离散正交多项式曲面拟合技术探测边缘位置；第二，运用松弛标定网突出有意义的边缘结构和压缩噪声边缘。

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