期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

自然场景下标志牌文本的提取 被引量：1

Extraction of Board Text under Natural Scene
在线阅读 下载PDF
导出
摘要 图像中的文本提取在现代科技中有重要的地拉,而自然场景下标志牌文本的提取更占据了其中的主要部分。在对已有的文本提取方法进行深入研究和分析的基础之上,提出了一种新颖、有效的标志文字提取的方法,该方法在彩色图像滤波的基础上,通过对图像进行边缘检测,根据文字的固有特征和关系特征进行文本区域的确认。该文本提取软件可以对自然场景下标记牌文本进行较为有效的提取。 The image collecting and processing, especially the extraction of the board text under natural scenes, plays a crucial role in the modern science and technology. Based upon the former methods of text extraction, this paper makes further studies and analysis,and presents a completely novel and effective approach to board text extraction. This approach is built upon the technique of color image flitting, then examines the rims of these images,and finally confirms the text zones according to the inherent features and relationships of these characters. The completed text extraction software can make efficient extraction of the board text under natural scenes.
作者 刘勇 孙焘 李琛 冯林
机构地区 大连理工大学大学生创新院
出处 《现代电子技术》 2007年第23期112-114,共3页 Modern Electronics Technique
关键词 图像滤波 边缘检测 二值化处理 区域标记 Image filter image - rims examination binary processing zone mark
分类号 TN919.8 [电子电信—通信与信息系统]
  • 相关文献

参考文献4

  • 1陈兵旗,孙明.Visual C^++使用图像处理[M].北京:清华大学出版社,2004.
  • 2庄越挺,刘骏伟,吴飞,潘云鹤,张引.基于支持向量机的视频字幕自动定位与提取[J].计算机辅助设计与图形学学报,2002,14(8):750-753. 被引量：38
  • 3Yu Zhong, Kalle Karu, Anil K Jain. Locating Text in Complex Color Images [J]. Pattern Recognition, 1995,28 (10) : 1523-1535.
  • 4Jain A K, Yu B. Automatic Text Location in Images and Video Frames[J]. Pattern Recognition, 1998,31 (12) : 2055-2076.

二级参考文献13

  • 1[1]Y Wang, Z Liu, J Huang. Multimedia content analysis using audio and visual information[J]. IEEE Signal Processing Magazine, 2000, 17(6):12～36
  • 2[2]R Lienhart, F Stuber. Automatic text recognition in digital videos[A]. In: Proceedings of ACM Multimedia, Boston, 1996.11～20
  • 3[3]Zhong Yu, Zhang Hongjiang, Jain Anil K. Automatic caption localization in compressed video[J]. Pattern Analysis and Machine Intelligence, 2000, 22(4):385～392
  • 4[4]V Vapnik. The Nature of Statistical Learning Theory[M]. New York: Springer, 1995
  • 5[5]M Schmidt. Identifying speaker with support vector networks[A]. In: Proceedings of Interface'96, Sydney, 1996
  • 6[6]T Joachims. Text categorization with support vector machines: Learning with many relevant features[A]. In: Proceedings of the 10th European Conference on Machine Learning, Chemnitz, Germany, 1998.137～142
  • 7[7]Yuan Qi. Learning algorithms for video and audio processing: Independent component analysis and support vector machine based approaches[R].College Park: University of Maryland at College Park, LAMP-TR-056(CAR-TR-951), 2000
  • 8[8]Edgar Osuna, Robert Freund, Federico Girosi. Training support vector machines: An application to face detection[A]. In: Proceedings of Computer Vision and Pattern Recognition, Puerto Rico, 1997.130～136
  • 9[9]C J C Burges. A tutorial on support vector machines for pattern recognition[J]. Data Mining, and Knowledge Discovery, 1998, 2(2):121～167
  • 10[10]T M Cover. Geometrical and statistical properties of systems and linear inequalities with applications in pattern recognition[J]. IEEE Transactions on Electronic Computers, 1965, 14(3):326～334

共引文献37

同被引文献16

  • 1DOERMANN D, LIANG Jian, LI Huiping. Progress in camera - based document image analysis[ C]//Proc. ICDAR. [ S. 1. ] :IEEE Press,2003:606 - 616.
  • 2YI C ,TIAN Y. Text string detection from natural scenes by structure. - based partition and grouping[J]. IEEE Trans. Image Processing,2011,20(9) :2594 -2605.
  • 3GARG R,HASSAN E,CHAUDHURY S. A CRF based scheme for overlapping muhi - colored text graphics separation [ C ]//Proc. IC- DAR. [S. 1.]:IEEEPress,2011:1215-1219.
  • 4PAN Y F, HOU X W,LIU C L. A Hybrid approach to detect and localize texts in natural scene images[ J ]. IEEE Trans. Image Pro- cessing,2011,20( 3 ) :800 - 813.
  • 5YAO Cong, BAI Xiang, SHI Baoguang. Strokelets : a learned multi - scale representation for scene text recognition [ C ]//Proc. CVPR. [ S. 1. ] : IEEE Press ,2014 : 1 - 9.
  • 6WANG Kai,BABENKO B, BELONGIE S. End - to - end scene text recognition[C]//Proc. ICCV. [S. 1.]: IEEE Press, 2011: 1457 - 1464.
  • 7COMANICIU D, MEER P. Mean shift: a robust approach toward feature space analysis[ J]. IEEE Trans. Pattern Analysis and Ma- chine Intelligence, 2002,24 ( 5 ) : 603 - 619.
  • 8HUANG Hailong, WANG Hong, GUO Fan. A Gray- scale image edge detection algorithm based on mathematical morphology [ C ]// Proc. ICMTMA. [ S. 1. ] :IEEE Press,2011:62 -65.
  • 9EZAKI N, BULACU M, SCHOMAKER L. Text detection from natural scene images: towards a system for visually impaired per- sons [ C ]//Proc. ICPR. Cambridge, UK: [ s. n. ], 2004: 683 - 686.
  • 10KOBAYASHI T. BOF meets HOG: feature extraction based on his- tograms of oriented p. d. f. gradients for image classification[ C]// Proc. CVPR. [S. 1. ] :IEEE Press,2013:747 -754.

引证文献1

二级引证文献3

现代电子技术
2007年 第23期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部