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基于网格数据图的自适应细分及边缘提取
引用本文:李长河,秦欣,张二虎,石争浩.基于网格数据图的自适应细分及边缘提取[J].计算机工程与应用,2003,39(24):94-96,109.
作者姓名:李长河  秦欣  张二虎  石争浩
作者单位:西安理工大学计算机学院,西安,710048
基金项目:教育部重点实验室基金资助(编号:TKLJ0107),陕西省教育基金资助(编号:02JK093)
摘    要: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。

关 键 词:网格数据  图像分割  边缘提取  自适应细分  信息融合
文章编号:1002-8331-(2003)24-0094-03

Adaptive Subdivision & Area Graph Segmentation and Edge Detection Method Based on Grid Computation
Li,Changhe Qin Xin Zhang Erhu Shi,Zhenghao.Adaptive Subdivision & Area Graph Segmentation and Edge Detection Method Based on Grid Computation[J].Computer Engineering and Applications,2003,39(24):94-96,109.
Authors:Li  Changhe Qin Xin Zhang Erhu Shi  Zhenghao
Abstract: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.
Keywords:Grid Data  Image Segmentation  Edge Detection  Adaptive Subdivision  Information Fusion
本文献已被 CNKI 维普 万方数据 等数据库收录!
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