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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细分

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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:本文提出了一种自动布局文档分割的通用方法。我们首先使用颜色直方图提取图像的主色。然后,此信息用于将文档分层划分为以多边形表示的感兴趣区域。如果感兴趣的区域是图片,则该算法会智能地拒绝进一步对其进行分割,而对包含文本的彩色区域进行细分。该方法已经在50个现实生活中的文档中进行了测试,例如办公室信件,小册子和技术文件,并以100 / spl次/ 100dpi分辨率进行了扫描。以大约68%的可靠性检测区域。提出了对结果的关键分析。

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