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Multiple level set region based single line road extraction

机译:基于多级集区域的单线道路提取

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A new region detection approach for GIS system has been proposed to detect the roads in image. After extraction of road parts from the other parts of image, binarized road features are mined and then used to get a single line road features by thinning. The pruning of the extra unrelated branches and linking of the related branches have been done using Bottom-Top Nega-Max Formulation and Gradient Circum-circle Based Linking. Our proposed method shows high accuracy in detecting roads from satellite images. We have proved by experiment and analysis that proposed method of road extraction is best suited to deal with an average of 95.6% accuracy.
机译:已经提出了一种新的GIS系统检测方法来检测图像中的道路。从其他部分提取道路部件后,采用二值化的道路特征,然后用来通过细化获得单线道路特征。已经使用底层Nega-Max配方和基于梯度周圈的连接进行了额外的不相关分支和相关分支链接的修剪。我们所提出的方法在检测来自卫星图像的道路方面的高精度上显示出高精度。通过实验和分析证明,建议的道路提取方法最适合处理的平均准确性为95.6%。

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