增强纹理平流算法研究

发布时间：2018-04-13 17:30

本文选题：矢量场可视化 + 纹理平流　；参考：《计算机辅助设计与图形学学报》2017年04期

【摘要】：当以纹理方式可视化三维矢量场时,纹理卷积会降低矢量纹理脉的对比度,容易出现平流纹理细节模糊与粗糙的问题,为此提出一种增强纹理平流算法.首先通过自定义球体半径确定任一噪声点的邻近点,利用当前噪声点与邻近点间的位置关系计算噪声伪梯度,以测试矢量场局部区域内的变化趋势,选取伪梯度的最大下降幅度参与纹理平流;然后根据任一平流位置处的噪声值对最终输出纹理的贡献度自适应调整噪声权重;最后引入盒型滤波递归合成平滑算子进行纹理卷积来生成矢量体纹理.算法的有效性根据可视化对比度的量化分析函数进行客观评价.实验结果表明,该算法能够有效地增加纹理平流踪迹间强度对比,改善绘制效果,高质量地显示三维矢量场的纹理分布.
[Abstract]:When the 3D vector field is visualized by texture, texture convolution will reduce the contrast of vector texture pulse, and it is easy to appear the problem of fuzziness and roughness of advection texture. Therefore, an enhanced texture advection algorithm is proposed.Firstly, the adjacent points of any noise point are determined by the self-defined radius of the sphere, and the noise pseudo-gradient is calculated by using the position relationship between the current noise point and the adjacent point to test the variation trend in the local region of the vector field.The maximum descent amplitude of the pseudo gradient is selected to participate in the texture advection, and the noise weight is adjusted adaptively according to the contribution of the noise value at any advection position to the final output texture.Finally, the box-type filter recursive synthesis smoothing operator is introduced to generate vector volume texture.The effectiveness of the algorithm is evaluated objectively according to the quantitative analysis function of visual contrast.The experimental results show that the proposed algorithm can effectively increase the intensity contrast between the traces of the texture advection, improve the rendering effect, and display the texture distribution of the 3D vector field with high quality.
【作者单位】：曲阜师范大学软件学院;中国科学院计算技术研究所虚拟现实实验室;
【基金】：国家自然科学基金(61173067,61379085)
【分类号】：TP391.41

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