The authors describe and evaluate a method that detects ridges (symmetric axes) in an Euclidean distance map. The method detects ridge-pixels with a local-maxima search using only relational operations and has therefore minimal complexity. The resulting ridges exhibit a height profile that is suitable for region abstraction by means of simple parameterisation. The method is firstly evaluated on artificial stimuli with systematic shape variations using spatial jitter and contour fragmentation. Then it is mentioned, how the method can be used for developing region abstractions. Such abstractions have been already exploited in two tasks, hand-written digit identification (MNIST database) and image classification (satellite images and images of urban/natural landscapes); the classification results of those systems are competitive.

中文翻译：

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快速区域分析以进行分类

作者描述并评估了一种在欧几里得距离图中检测脊线（对称轴）的方法。该方法仅使用关系运算通过局部最大值搜索来检测脊像素，因此具有最小的复杂度。所得的脊具有高度轮廓，该高度轮廓适于通过简单的参数化来抽象区域。该方法首先通过使用空间抖动和轮廓碎片对具有系统形状变化的人工刺激进行评估。然后提到如何将该方法用于开发区域抽象。这种抽象已经在两个任务中得到利用，手写数字识别（MNIST数据库）和图像分类（卫星图像和城市/自然景观图像）；这些系统的分类结果具有竞争力。