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Multidirectional Scanning Model, MUSCLE, to Vectorize Raster Images with Straight Lines

机译:多方向扫描模型MUSCLE,用于以直线矢量化光栅图像

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This paper presents a new model, MUSCLE (Multidirectional Scanning for Line Extraction), for automatic vectorization of raster images with straight lines. The algorithm of the model implements the line thinning and the simple neighborhood methods to perform vectorization. The model allows users to define specified criteria which are crucial for acquiring the vectorization process. In this model, various raster images can be vectorized such as township plans, maps, architectural drawings, and machine plans. The algorithm of the model was developed by implementing an appropriate computer programming and tested on a basic application. Results, verified by using two well known vectorization programs (WinTopo and Scan2CAD), indicated that the model can successfully vectorize the specified raster data quickly and accurately.
机译:本文提出了一种新模型,即MUSCLE(线提取的多方向扫描),该模型可自动对具有直线的栅格图像进行矢量化。该模型的算法实现了线细化和简单的邻域方法来执行矢量化。该模型允许用户定义对获取矢量化过程至关重要的指定标准。在此模型中,可以对各种光栅图像进行矢量化处理,例如乡镇计划,地图,建筑图和机器计划。该模型的算法是通过实施适当的计算机程序开发的,并在基本应用程序上进行了测试。通过使用两个众所周知的矢量化程序(WinTopo和Scan2CAD)验证的结果表明,该模型可以成功地快速,准确地矢量化指定的栅格数据。

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