期刊文献+

用顶点链编码计算图像区域密集度和体态比 被引量:1

Calculating the Compact and Posture Ratio of An Image Region Based on VCC
下载PDF
导出
摘要 利用链编码及其特性,分析得出图像区域边界的周长、最小外接矩形(MER)的长与宽及图像所占区域的面积,以此为基础,提出了一种基于链编码的图像区域密集度和体态比的计算方法. Introduced a way of utilizing VCC to get the perimeter of an image region, the length and width of the minimum external rectangle of the image and the size of the region occupied by the image. Based on this. a new method to calculate the compact and the posture ratio of the image is proposed.
出处 《华东师范大学学报(自然科学版)》 CAS CSCD 北大核心 2005年第1期59-62,共4页 Journal of East China Normal University(Natural Science)
关键词 链编码 边界标定自动机 图像区域 密集度 体态比 VCC region-labeling-automata image region compact posture ratio
  • 相关文献

参考文献10

  • 1顾国庆,许彦冰.数字图像区域标定的方法[J].上海理工大学学报,2001,23(4):295-299. 被引量:30
  • 2Freeman H. Computer processing of line-drawing images [J]. Computing Surveys, 1974, 6 (1): 57~97.
  • 3Freeman H. On the encoding of arbitrary geometric configuration [J]. IRE Trans, 1961, EC-10 (2): 260~268.
  • 4Freeman H. Techniques for the digital computer analysis of chain-encoded arbitrary plane curves [J]. Proc Natl Elect Conf, 1961, 17: 421~432.
  • 5Sidhu G S, Boute R T. Property encoding: applications in binary picture encoding and boundary following [J].IEEE Trans Comp, 1972, C-21 (11) : 1206~1216.
  • 6Merrill R D. Representation of contours and regions for efficient computer search [J]. Comm ACM, 1973, 16(2): 69~82.
  • 7Bribiesca E. A new chain code [J]. Pattern Recognition,1999, 32: 235~251.
  • 8Bribiesca E. A chain code for representing 3D curves [J]. Pattern Recognition, 1999, 33: 765~765.
  • 9Kenneth R Castleman. Digital Image Processing [M]. NJ : Prentice Hall, 1996.
  • 10XU Yan-bing.A Method to Generate Vertex Chain Code and the Calculation of Geometric Quantities[J].Journal of Shanghai University(English Edition),2001,5(z1):144-146. 被引量:7

二级参考文献9

  • 1[1]Ari Gross and Longin Jan Latecki, Digital geometric methods in document image analysis, Pattern Recognition,1999, 32:407--424
  • 2[2]Antoine Ting and Maylor K. H. Leung, Form recognition using linear structure, Pattern Recognition, 1999, 32:645-656
  • 3[3]Won Pil Yu, Gil Whoan Chu, and Myung Jin Chung, A robust line extraction method by unsupervised line clustering,Pattern Recognition, 1999, 32:529-546
  • 4[4]Ernesto Bribiesca, A new chain code, Pattern Recognition,1999, 32:235-251
  • 5[5]Gu G. Q. and Xu Y. B, A, method of region labeling for digital image, unpublished
  • 6[6]Zhang K. and Gu G. Q, A Method of Decline Correction for Two-Value Digital Images, issue 2, 1999:45-50
  • 7张昆,顾国庆.二值图像的一种倾斜调整算法[J].计算机与现代化,1999(2):24-27. 被引量:4
  • 8罗希平,田捷,诸葛婴,王靖,戴汝为.图像分割方法综述[J].模式识别与人工智能,1999,12(3):300-312. 被引量:231
  • 9靳宏磊,朱蔚萍,李立源,陈维南.二维灰度直方图的最佳分割方法[J].模式识别与人工智能,1999,12(3):329-333. 被引量:19

共引文献30

同被引文献12

  • 1曾接贤,张桂梅,储珺,鲁宇明.霍夫变换与最小二乘法相结合的直线拟合[J].南昌航空大学学报(自然科学版),2003,19(4):9-13. 被引量:33
  • 2吴晓光,王涤琼,盛慧.一种获取图像区域最小外接矩形的算法及实现[J].计算机工程,2004,30(12):124-125. 被引量:29
  • 3Gu Guoqing,Chen Ke. Region - labeling - automata for ima-ges in square,triangular and hexagonal lattice [ J]. Journal ofThree Dimensional Images,2003 ,17( 1 ) :161 -165.
  • 4Golub G H, Van Loan C F. An analysis of the total leastsquares problem [ J]. SIAM Journal Numer Anal, 1980, 17(6):883 -893.
  • 5Van Huffel S, Vandewalle J. The total least squares problemcomputational aspects and analysis [ M]. USA: SIAM Phila-delphia, 1991.
  • 6Mehdi F, Nicolas B,Salvatore T. A robust skew detectionmethod based on maximum gradient difference and R - signa-ture [C ]. Washington DC: Proceedings of the 18th IEEE In-ternational Conference on Image Processing,2011.
  • 7Lu Y,Tan C L. Improced nearest neighbor based approach toaccurate document skew estimation [ C]. Washington DC : Pro-ceedings of 7th International Conference on Document Analy-sis and Recognition,2003.
  • 8Yu B, Jain A K. A robust and fast skew detection algorithmfor generic documents [ J ]. Pattern Recognition, 1996,29(10):1599 -1629.
  • 9丁克良,沈云中,欧吉坤.整体最小二乘法直线拟合[J].辽宁工程技术大学学报(自然科学版),2010,29(1):44-47. 被引量:162
  • 10卢达,浦炜,谢铭培.文本行字符基线的精确测定算法[J].小型微型计算机系统,2000,21(7):726-728. 被引量:2

引证文献1

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