Clutter noise removal in binary document images
Clutter noise removal in binary document images
复制标题
二进制文档图像中的杂乱噪声去除
DOI：
10.1007/s10032-012-0196-6
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
D. Doermann
中科院分区：
文献类型：
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作者：
Mudit Agrawal;D. Doermann
提出了一种复杂文档图像的杂波检测与去除算法。这种基于距离变换的技术旨在去除不规则和独立的不必要的杂波，同时保留文本内容。这种方法的新奇之处在于，当杂波以不规则的方式附着到内容时，它近似于杂波-内容边界。作为中间步骤，创建残差图像，其形成杂波检测和去除的基础。杂波检测和去除与杂波的位置、大小、形状以及与文本的连接无关。该方法进行了测试的高度退化和嘈杂的，机器打印和手写的阿拉伯文和英文文档的集合，结果显示像素级的准确度分别为99.18%和98.67%的杂波检测和去除。这种方法也扩展到具有杂波和椒盐噪声的混合的文档。
The paper presents a clutter detection and removal algorithm for complex document images. This distance transform based technique aims to remove irregular and independent unwanted clutter while preserving the text content. The novelty of this approach is in its approximation to the clutter–content boundary when the clutter is attached to the content in irregular ways. As an intermediate step, a residual image is created, which forms the basis for clutter detection and removal. Clutter detection and removal are independent of clutter’s position, size, shape, and connectivity with text. The method is tested on a collection of highly degraded and noisy, machine-printed and handwritten Arabic and English documents, and results show pixel-level accuracies of 99.18 and 98.67 % for clutter detection and removal, respectively. This approach is also extended to documents having a mix of clutter and salt-and-pepper noise.