从扫描文档图像中去除圆形噪声

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Pub Date : 2007-09-23 DOI:10.1109/ICDAR.2007.80

Gaofeng Meng, N. Zheng, Yuanlin Zhang, Yonghong Song

{"title":"从扫描文档图像中去除圆形噪声","authors":"Gaofeng Meng, N. Zheng, Yuanlin Zhang, Yonghong Song","doi":"10.1109/ICDAR.2007.80","DOIUrl":null,"url":null,"abstract":"Defects inspection and correction is an important topic in the fields of scanned documents preprocessing. In this paper, a very fast and robust algorithm is proposed for locating and removing a special kind of circular noises caused by scanning documents with punched holes. Firstly, original image is reduced according to an elaborately selected ratio. Punched holes after reduction will leave some distinctive small regions. By examining such small regions, holes noises can be fast detected and located. To diminish false detections, Hough transformation is applied to the roughly located regions to further confirm the located holes. Finally, circular noise is eliminated by fitting a bi-linear blending Coons surface which interpolates along the four edges of noisy region. Experiments on a variety of scanned documents with punched holes demonstrate the feasibility and efficiency of the proposed algorithm.","PeriodicalId":279268,"journal":{"name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Circular Noises Removal from Scanned Document Images\",\"authors\":\"Gaofeng Meng, N. Zheng, Yuanlin Zhang, Yonghong Song\",\"doi\":\"10.1109/ICDAR.2007.80\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Defects inspection and correction is an important topic in the fields of scanned documents preprocessing. In this paper, a very fast and robust algorithm is proposed for locating and removing a special kind of circular noises caused by scanning documents with punched holes. Firstly, original image is reduced according to an elaborately selected ratio. Punched holes after reduction will leave some distinctive small regions. By examining such small regions, holes noises can be fast detected and located. To diminish false detections, Hough transformation is applied to the roughly located regions to further confirm the located holes. Finally, circular noise is eliminated by fitting a bi-linear blending Coons surface which interpolates along the four edges of noisy region. Experiments on a variety of scanned documents with punched holes demonstrate the feasibility and efficiency of the proposed algorithm.\",\"PeriodicalId\":279268,\"journal\":{\"name\":\"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.2007.80\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2007.80","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

缺陷检测与校正是扫描文档预处理领域的一个重要课题。本文提出了一种快速、鲁棒的算法，用于定位和去除扫描穿孔文档时产生的一种特殊的圆形噪声。首先，根据精心选择的比例对原始图像进行约简。冲孔后减少会留下一些明显的小区域。通过检测这些小区域，可以快速检测和定位孔洞噪声。为了减少误检，对大致定位的区域进行霍夫变换，进一步确认定位的孔洞。最后，通过拟合沿噪声区域四边插值的双线性混合库恩曲面来消除圆形噪声。对各种带打孔的扫描文档进行了实验，验证了该算法的可行性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Circular Noises Removal from Scanned Document Images

Defects inspection and correction is an important topic in the fields of scanned documents preprocessing. In this paper, a very fast and robust algorithm is proposed for locating and removing a special kind of circular noises caused by scanning documents with punched holes. Firstly, original image is reduced according to an elaborately selected ratio. Punched holes after reduction will leave some distinctive small regions. By examining such small regions, holes noises can be fast detected and located. To diminish false detections, Hough transformation is applied to the roughly located regions to further confirm the located holes. Finally, circular noise is eliminated by fitting a bi-linear blending Coons surface which interpolates along the four edges of noisy region. Experiments on a variety of scanned documents with punched holes demonstrate the feasibility and efficiency of the proposed algorithm.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)

自引率

0.00%

发文量