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A new framework for efficient and flexible analysis of the performance of document image analysis subsystems

机译:一种新的框架,可对文档图像分析子系统性能进行高效和灵活分析

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Algorithms in various fields of Image Analysis have matured over the years and yet more new algorithms are being developed claiming to outperform existing ones. Frequently, each algorithm is devised with a specific application in mind and isfine-tuned to the test image data set used by its authors, thus making a direct comparison with other algorithms difficult. The need for objective evaluation of the performance of Image Analysis algorithms is now widely acknowledged and a number oftechniques have been devised for various subsystems, e.g., see Bower and Phillips (I).
机译:多年来,各种图像分析领域的算法已经成熟,但正在开发更多的新算法声称以优于现有的算法。通常,每种算法都设计有一个特定的应用程序,并被INFINE调谐到其作者使用的测试图像数据集,从而与其他算法进行直接比较。现在广泛地确认了对图像分析算法性能的客观评估的需求,并且已经为各个子系统设计了一个数字,例如,参见培养和菲利普斯(i)。

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