Scribble Based Interactive Page Layout Segmentation Using Gabor Filter

M. Kassis, Jihad El-Sana
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引用次数: 13

Abstract

This paper presents an interactive approach for fast and accurate page layout segmentation. It is a scribble-based interactive segmentation approach, where the user draws scribbles on the various regions and the system performs page layout segmentation. The user can correct and refine the resulting segmentation by drawing new scribbles. To classify the various regions of the page, we apply a bank of Gabor filters, in several orientations and multiple frequencies, to capture the orientation, the stroke width, and size of the text. These properties also implicitly encode the writing style of the document. After combining the responses of the Gabor filter into a feature matrix, we classify various regions of the document by applying graph cuts, while taking into account the user made scribbles. The presented approach is very fast, easy to use, robust to user interaction, and provides accurate results.
基于涂鸦的交互式页面布局分割使用Gabor过滤器
本文提出了一种快速准确分割页面布局的交互式方法。它是一种基于涂鸦的交互式分割方法,用户在各个区域上涂鸦,系统执行页面布局分割。用户可以通过绘制新的涂鸦来纠正和完善分割结果。为了对页面的各个区域进行分类,我们在几个方向和多个频率上应用了一组Gabor滤波器,以捕获文本的方向、笔画宽度和大小。这些属性还隐式地对文档的写作风格进行编码。在将Gabor过滤器的响应组合成特征矩阵后,我们通过应用图切割对文档的各个区域进行分类,同时考虑到用户的涂鸦。该方法具有快速、易用、鲁棒性强、结果准确等特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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