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Land Map Images Binarization Based on Distance Transform and Adaptive Threshold

机译:基于距离变换和自适应阈值的地形图图像二值化

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This work presents a binarization technique of map document images. It exploits an amalgam of global and local threshold approaches best suited for binarization of document images with complex background and overlapping objects in the foreground like maps. The proposed approach uses Distance Transform (DT) and Adaptive threshold. Initially a rough estimate of the map background is done using Distance Transform (DT). This is followed by an adaptive threshold operation to extract the foreground. The efficacy and accuracy of the proposed technique are also compared, using ICDAR 2009 -- DIBCO (Document Image Binarization Contest) evaluation parameters, with other algorithms already reported in the literature.
机译:这项工作提出了地图文档图像的二值化技术。它利用全局和局部阈值方法的混合物,最适合于将具有复杂背景和前景中重叠对象(如地图)的文档图像二值化。所提出的方法使用距离变换(DT)和自适应阈值。最初,使用距离变换(DT)对地图背景进行粗略估算。随后是自适应阈值运算以提取前景。还使用ICDAR 2009-DIBCO(文档图像二值化竞赛)评估参数对提出的技术的有效性和准确性进行了比较,并与文献中已有的其他算法进行了比较。

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