Processing of Words Labels in Scanned Map Based on Singularity Detection

摘要：

　　The words labels in the scanned map should be removed in some application.In this paper singularity detection based on wavelet is adopted to separate the words labels from the scanned map.One row is extracted from the scanned map,and then is convoluted with wavelet in different scales.Compared to the end of words labels,the words labels themselves have different Lipschitz exponents.In this paper the local minimum of Lipschitz exponents is proposed to separate the words labels from the background.

关键词： image processing singularity wavelet

作者: Xu Zhipeng Liu Runqing

作者单位: School of Physics Science and Information Engineering,Liaocheng University Shandong Provincial Key L Shandong Linqing polytechnical Vocational School Linqing,China

会议类型: 国际会议

会议名称: The 14th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

会议地点: 贵阳

会议语种:英文

页码: 344-347

在线出版日期: 2015-08-18（万方平台首次上网日期，不代表论文的发表时间）