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Object Extraction from Colour Cadastral Maps

机译:从彩色地籍图中提取目标

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摘要

In this paper, an object extraction method from ancient colour maps is proposed. It consists on the localization of quarters inside a given cadastral map. The colour aspect is exploited thanks to a colour restoration algorithm and the selection of a relevant hybrid colour model. Objects composing the map are located using a multi-components gradient. To identify quarters, a peeling the onion method is adopted. This selective method starts by separated text and graphics. On the graphic layer, a connected component analysis is carried out through the use of a neighbourhood graph. This graph is smartly pruned to consider only significant areas. Consequently, the quarter boundaries are found using a snake which is a computer-generated curve that moves within an image to fit a given object. The performance of our method is measured up in two steps: Firstly, the colour space selection is assessed according to the colour distinction capacity while being robust to variationsoise then the automatic extraction approach is compared to the user ground truth. Results show the good behaviour of the whole system.
机译:本文提出了一种从古代彩色地图中提取目标的方法。它包括在给定的地籍地图内四分之一地的定位。得益于颜色恢复算法和相关混合颜色模型的选择,可以利用颜色方面。使用多分量渐变来定位组成地图的对象。为了识别四分之一,采用了去皮洋葱的方法。这种选择方法从分隔的文本和图形开始。在图形层上,通过使用邻域图进行连接的组件分析。巧妙地修剪此图以仅考虑重要区域。因此,使用蛇发现四分之一边界,该蛇是计算机生成的曲线,可在图像内移动以适合给定的对象。我们的方法的性能分两个步骤进行评估:首先,根据颜色区分能力评估颜色空间选择,同时对变化/噪声具有鲁棒性,然后将自动提取方法与用户实际情况进行比较。结果显示了整个系统的良好行为。

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