The problem of labeling the connected components of a binary image is well defined, and several proposals have been presented in the past. Since an exact solution to the problem exists, algorithms mainly differ on their execution speed. In this paper, we propose and describe YACCLAB, Yet Another Connected Components Labeling Benchmark. Together with a rich and varied dataset, YACCLAB contains an open source platform to test new proposals and to compare them with publicly available competitors. Textual and graphical outputs are automatically generated for many kinds of tests, which analyze the methods from different perspectives. An extensive set of experiments among state-of-the-art techniques is reported and discussed.

中文翻译：

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进行有关连接组件标记算法性能的可靠实验

标记二进制图像的已连接组件的问题已得到很好的定义，并且过去已经提出了一些建议。由于存在对问题的精确解决方案，因此算法的主要区别在于执行速度。在本文中，我们提出并描述了YACCLAB，这是另一个连接组件标签基准。YACCLAB与丰富多样的数据集一起，提供了一个开放源代码平台，用于测试新提案并将其与公开竞争者进行比较。自动为多种测试生成文本和图形输出，这些测试从不同角度分析了方法。报告和讨论了一系列最新技术中的大量实验。