基于反距离加权插值的水声数据可视化算法

Visualization Algorithm of Underwater Acoustic Data Based on Inverse Distance Weight Interpolation

在使用光线投影法对体数据进行三维重建时,采样点不一定刚好落在数据点的位置,需要通过插值来计算采样点的数值。插值方法的选择直接影响最终的可视化绘制效果。反距离加权插值算法是一种计算相对快速、简单的插值方法。通过分析三维水声数据特点,引入反距离加权插值算法,确定插值算法的重要参数搜索半径和权值下降指数,在搜索半径确定的球体内对采样点进行插值,进而得到采样点的灰度值。使用人工干预实现水声数据的分层,通过调整插值参数改进绘制质量。实验结果表明,经过反距离加权插值后的图像具有较好的绘制效果。

In the use of ray casting algorithm for 3-d reconstruction of volume data, the sampling point will not necessarily fall in the location of the data point. So interpolation is needed for the values of sampling points. The choice of interpolation method directly affects the rendering quality. Inverse Distance Weight （IDW） interpolation algorithm is a relatively fast and simple interpolation method. In this paper, through the analysis of the characteristics of underwater acoustic data, a method using the inverse distance weight interpolation for volume data is proposed. The important parameters of the interpolation algorithm, the search radius and power exponent are selected. Interpolate in the sphere is determined by the search radius. The grey value of the sampling point is calculated. It also layers the acoustic data by manual operation. And the different layer parameters of underwater acoustic data are parameters with different parameters to get better results. Experimental results show that the image with inverse distance weight interpolation has better rending quality than before.