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Intelligent hierarchical layout segmentation of document images on the basis of colour content

机译:基于颜色内容的文档图像智能分层布局分割

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This paper proposes a general methodology for automatic layout segmentation of documents. We first use colour histograms for extracting dominant colours of an image. This information is then used to hierarchically segment documents into regions of interest represented as polygons. If a region of interest is a picture the algorithm intelligently refrains from segmenting it further, while coloured regions that contain text are subsegmented. The method has been tested on 50 real life documents, such as office letters, brochures, and technical papers, scanned at 100/spl times/100 dpi resolution. Regions are detected with about 68% reliability. A critical analysis of the results is presented.
机译:本文提出了一种用于自动布局分割文件的一般方法。我们首先使用颜色直方图来提取图像的主要颜色。然后将该信息用于分级地分段为表示为多边形的感兴趣区域。如果感兴趣的区域是图像算法智能地抑制其进一步分割,而包含文本的彩色区域是子隔音的。该方法已在50个现实生活文件上进行测试,例如办公室信件,小册子和技术论文,扫描100 / SPL时间/ 100 DPI分辨率。检测到约68%的可靠性。提出了对结果的关键分析。

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