基于网格数据图的自适应细分及边缘提取

Adaptive Subdivision&Area Graph Segmentation and Edge Detection Method Based on Grid Computation

文章针对网格数据计算的可视化表达,给出了网格数据图有限元自适应细分方法;进而提出了网格计算与图形及数字图像处理的信息融合提取算法,实现了数据的自适应采样细分、图像分割与边缘提取。实验结果表明,该方法在不增加太多的计算及数据量情况下,可以很好地提高特征区域数据分辨率和网格数据计算的效率。

Aim at the visualization expression of grid data computation,a grid data map finite element adaptive subdi-vision method is presented.Then an information fusion edge detection algorithm based on grid computation and digital image processing is proposed.Using this method,the numerical computing is adjusted automatically to the character area.The experiment results show that the sample resolution of the grid computation can be greatly improved without increas-ing the numerical computation very much.