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Book inner boundary extraction with modified active shape model

机译:用改进的活动形状模型提取书籍内边界

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摘要

This paper proposes one modified active shape model (MASM) method to extract book inner boundaries in the scanned book images. It assumes that both pages are included in the scanned image and the book page corners are provided. The MASM method introduces the "book shape" idea and represents the book shape as one set of landmark points which are sampled from book boundary. It utilizes one iterative part-to-whole strategy to recognize the landmark points of inner boundary: at the part level, dynamic programming is used to incorporate into the specific properties of book boundary to locate the landmark points for each piece of boundary; at the whole level, one book shape model is used to constrain the shape composed by the landmarks. Finally, it extracts the inner boundary according to the located landmark points. In addition, one "expanding training shapes" strategy is proposed to learn one shape model with better generalization ability. The proposed method is evaluated on the collected datasets and shows the impressive result.
机译:本文提出了一种改进的主动形状​​模型(MASM)方法,用于在扫描的书本图像中提取书本内边界。假定两个页面都包含在扫描图像中,并且提供了书页角。 MASM方法引入了“书本形状”概念,并将书本形状表示为从书本边界采样的一组界标点。它利用一种从头到尾的迭代策略来识别内部边界的界标点:在部分层次上,动态编程被用于将书本边界的特定属性纳入其中,从而为每个边界定位界标点;在整个级别上,使用一个书本形状模型来约束地标组成的形状。最后,根据定位的地标点提取内部边界。此外,提出了一种“扩展训练形状”策略来学习一种具有更好泛化能力的形状模型。所提出的方法在收集的数据集上进行了评估,并显示出令人印象深刻的结果。

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