漫画图像处理:学习分割文本

Proceedings of the 1st International Workshop on coMics ANalysis, Processing and Understanding Pub Date : 2016-12-04 DOI:10.1145/3011549.3011560

N. Hirata, Igor dos Santos Montagner, R. Hirata

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引用次数: 3

摘要

采用图像算子学习方法对漫画图像中的文本进行分割。由于该方法基于对输入和相应预期输出图像的学习，因此在字母表集和文本方向方面具有灵活性。这种方法在日本和欧洲漫画中都有应用。结果表明，大多数文本区域可以直接从输出图像中识别出来。

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Comics image processing: learning to segment text

We employ an image operator learning method to segment text in comic images. Since the method is based on learning from pairs of input and corresponding expected output images, it is flexible with respect to alphabet sets and text orientation. The method is applied on both Japanese and European comics. Results indicate that most text regions can be straightforwardly identified from the output images.

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来源期刊

Proceedings of the 1st International Workshop on coMics ANalysis, Processing and Understanding

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