李振海, 罗志才, 汪海洪, 李琼. 利用改进FLIC算法进行重力矢量场可视化[J]. 武汉大学学报 ( 信息科学版), 2011, 36(3): 276-279.
引用本文: 李振海, 罗志才, 汪海洪, 李琼. 利用改进FLIC算法进行重力矢量场可视化[J]. 武汉大学学报 ( 信息科学版), 2011, 36(3): 276-279.
LI Zhenhai, LUO Zhicai, WANG Haihong, LI Qiong. Visualization of Gravity Vector Field Using Improved FLIC Algorithm[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3): 276-279.
Citation: LI Zhenhai, LUO Zhicai, WANG Haihong, LI Qiong. Visualization of Gravity Vector Field Using Improved FLIC Algorithm[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3): 276-279.

利用改进FLIC算法进行重力矢量场可视化

Visualization of Gravity Vector Field Using Improved FLIC Algorithm

  • 摘要: 针对固定滤波长度公式得到的LIC图像显示效果不理想的缺点,利用纹理流线上所有点亮度值的统计方差来衡量可视化精度,提出了一种滤波长度随矢量变化的改进FLIC算法。用颜色信息表示重力异常大小或者真实垂线偏差大小,纹理方向表示重力方向,基于改进FLIC算法实现了重力矢量场的可视化,结果表明,重力矢量场的可视化具有表达多维信息和矢量方向细节、图形直观易读等优势。

     

    Abstract: In order to overcome the shortcomings of the traditional LIC algorithm with fixed filter length,an improved FLIC algorithm which filter length varied with the vector direction was proposed.And statistical variance of the intensities at all points in one texture streamline was employed to evaluate the visualization accuracy.The computational efficiency and visualization accuracy can be improved simultaneously by the new method.Furthermore,visualization of gravity vector field was carried out by improved FLIC algorithm,using color information to distinguish gravity anomalies or deflections of the vertical,and texture to express the direction of gravity vector.The results indicate that the visualization of gravity vector field has obvious advantages including multi-dimensional information expression,image cognition and vector direction details.

     

/

返回文章
返回