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Automatic marker generation for watershed segmentation of natural images

机译:自动标记生成,用于自然图像的分水岭分割

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Automatic marker selection for watershed segmentation is a difficult problem. Most of the existing procedures are intended for specific application fields and usually require some prior knowledge about the problem at hand. A simple and general method for generating markers is proposed. The markers are obtained from the splitting of the three-dimensional (3D) colour histogram of the image and imposed as minima for watershed segmentation. The method has been tested on natural images from the Berkeley segmentation dataset (BSDS500), showing results comparable with the state-of-the-art segmentation algorithms.
机译:用于分水岭分割的自动标记选择是一个难题。现有的大多数过程都针对特定的应用领域,并且通常需要有关手头问题的一些先验知识。提出了一种简单而通用的标记生成方法。标记是从图像的三维(3D)颜色直方图的拆分中获得的,并作为分水岭分割的最小值。该方法已在Berkeley分割数据集(BSDS500)的自然图像上进行了测试,结果与最新的分割算法相当。

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