文本行分割中扩展水流算法的优化

D. Brodic, Z. Milivojevic, D. Tanikić, D. Milivojevic
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引用次数: 0

摘要

本文提出了一种文本线分割中水流算法的优化方法。原始方法假设水从左到右流向文档图像帧,反之亦然。它以水流角为唯一参数。该算法的扩展版本引入了水流函数,该函数表示为幂函数。它利用水流角α和指数n两个参数,并利用人工神经网络对这两个参数进行优化。由于文本行分割结果的改进,结果是令人鼓舞的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of the extended water flow algorithm for the text-line segmentation
The paper proposed an approach for the optimization of the water flow algorithm for the text-line segmentation. Original method assumed the hypothetical water that flows to the document image frame from left to right and vice versa. It used the water flow angle as the only parameter. Algorithm's extended version introduced a water flow function, which is given as the power function. It exploited two parameters: water flow angle α and exponent n. To optimize these two parameters artificial neural network has been used. Results are encouraging because of the improvement of the text-line segmentation results.
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