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Watershed regions and watershed lines based cooperation strategy for image segmentation. Application to roof detection

机译:基于流域的地区和流域线路分割合作策略。应用于屋顶检测

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In this paper, we present a strategy of image segmentation for roof detection from aerial images. For that, an orthophotoplan segmentation method based on a cooperation technique including edge based segmentation and region based segmentation is proposed. Both segmentation techniques are assured by watershed algorithm. The proposed strategy is composed of three steps: (i) A simplification step that consists in simplifying the image with an appropriate couple of invariant/gradient optimized for the application. (ii) The second step is composed of two main treatments: On the one hand, the image is segmented by the watershed regions coupled with an efficient regions merging technique. On the other hand, the image is segmented by the watershed lines. (iii) The third step consists in exploiting the advantages of each method and thus achieve a reliable segmentation results. Tests have been performed on an orthophotoplan containing 100 roofs with varying complexity and evaluated with Vinet criteria using a ground truth image.
机译:在本文中,我们展示了航空图像屋顶检测的图像分割策略。为此,提出了一种基于包括边缘基于分割和基于区域的分割的合作技术的正极光伏分割方法。通过流域算法确保了两种分段技术。该策略由三个步骤组成:(i)一种简化步骤,该步骤包括使用适当对应用程序进行优化的适当对不变/渐变的图像来简化图像。 (ii)第二步骤由两个主要处理组成:一方面,通过与有效区域合并技术的流域区域分段。另一方面,图像由流域线分割。 (iii)第三步包括利用每种方法的优点,从而实现可靠的分割结果。已经在含有100个屋顶的正交芯层上进行测试,该屋顶具有不同的复杂性,并使用地面真理图像与Vinet标准进行评估。

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