期刊文献+

基于高效Hough变换的圆柱特征检测方法 被引量:6

Efficient Hough transform based cylinder feature detection algorithm
原文传递
导出
摘要 椭圆Hough变换方法是特征提取领域重要的研究课题之一。为提高算法的精确度和时效性,提出了高效Hough变换(EHT)圆柱特征检测方法。该方法适用于检测圆柱特征中的椭圆轮廓,利用单个参数的近似值,估计其他参数的近似值。为控制算法误差,提出了EHT的失效模型,给出了预置参数的安全误差范围。对程序生成的椭圆图像进行检测实验,证实了EHT方法的有效性。 Ellipse Hough transform method is a significant research topic in the field of feature extraction.Efficient Hough transform(EHT)is proposed to improve the algorithm's accuracy and timeliness.This method is suitable for detecting the ellipse contour in cylindrical feature.The algorithm mainly consists of estimating other parameters'approximation by single parameter's approximation.EHT's failure model is proposed to give the security error range of preset parameter.Synthetic images of ellipse contour are tested to demonstrate EHT's effectiveness.
出处 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 2015年第8期921-926,共6页 Journal of Tsinghua University(Science and Technology)
关键词 HOUGH变换 特征提取 椭圆检测 圆柱 Hough transform feature extraction ellipse detection cylinder
  • 相关文献

参考文献12

  • 1Hough P V. A method and means for recognizing complex patterns~ USA, 3069654 ]-P2. 1962.
  • 2LU Wei, TAN Jinglu. Detection of incomplete ellipse in images with strong noise by iterative randomized Hough transform (IRHT) [J~. Pattern Recognition, 2008, 41(4)~ 1268 - 1279.
  • 3Nair P S, Saunders A T. Hough transform based ellipse deteetion algorithm [J]. Pattern Recognition Letters, 1996, 17(7): 777 -784.
  • 4Mclaughlin R A. Randomized Hough transform: Improved ellipse detection with comparison [J]. Pattern Recognition Letters, 1998, 19(3-4): 299-305.
  • 5Chia A Y S, Leung M K H, How-Lung E, et al. Ellipse detection with Hough transform in one dimensional parametric space [C]// ICIP 2007. IEEE International Conference on. San Antonio, TX, USA: IEEE, 2007: 333 - 336.
  • 6XIE Yonghong, JI Qiang. A new e[ficient ellipse detection method [C]// Pattern Recognition, 2002. Proceedings. 16th International Conference on. Quebec, Canada: IEEE, 2002.- 957 - 960.
  • 7CHENG Zhiguo, LIU Yuncai. Efficient technique for ellipse detection using restricted randomized Hough transform [C]// Information Technology= Coding and Computing, 2004. Proceedings. International Conference on. I.as Vegas, Nevada, USA.- IEEE, 2004.. 714- 718.
  • 8Chien C F, Cheng Y C, Lin T T. Robust ellipse detection based on hierarchical image pyramid and Hough transform [J]. J Opt Soc Am A Opt Image Sci Vis, 2011, 28(4): 581 - 589.
  • 9HAN Fei, GUO Yanling, WANG Lili. A new ellipse detector based on Hough transform [C]// Information and Computing Science, 2009. Second International Conference on. Manchester: IEEE, 2009: 301-305.
  • 10HE Kaiming, SUN Jian, TANG Xiaoou. Single image haze removal using dark channel prior [J]. Pattern Analysis and Machine Intelligence, 2011, 33(12) : 2341 - 2353.

二级参考文献20

  • 1韩秋蕾,朱明,姚志军.基于改进Hough变换的图像线段特征提取[J].仪器仪表学报,2004,25(z3):436-439. 被引量:31
  • 2王德超 涂亚庆.一种视频序列图像运动目标区域检测方法.电子测量与仪器学报,2008,22(2):215-221.
  • 3KIRYATI N,ELDAR Y,BRUCKSTEIN A M.A probabilistic Hough transform[J].Pattern Recognition,1991,24(4):303-316.
  • 4XU L,OJA E,KULTANEN P.A new curve detection method:Randomized Hough transform (RHT)[J].Patt.Recogn.Lett.1990,11(5):331-338.
  • 5KULTANEN P,XU L,OJA E.Randomized Hough transform (RHT)[C].Proc.10th Int.Conf.Patt.Recogn,1990:631-635.
  • 6XU L,OJA E.Further developments on RHT:Basic mechanisms,algorithms,and computational complexities[C].Proc.11th Int.Conf.Patt.Recogn.1992:125-128.
  • 7XU L,OJA E.Randomized Hough transform (RHT):basic mechanisms,algorithms,and computational complexities[J].CVGIP-image Understanding,1993,57(2):131-154.
  • 8PAJARES G,DE LA CRUZ J M.A wavelet-based image fusion tutorial[J].Pattern Recognition,2004,37:1855-1872.
  • 9MATAS J,GALAMBOS C,KITTLER J.Robust detection of lines using the progressive probabilistic Hough transform[J].Computer Vision and Image Understanding,2005,78:119-137.
  • 10HOUGH PV C.A method and means for recognizing complex patterns:USA,3,069,654[P].1962.

共引文献134

同被引文献39

引证文献6

二级引证文献16

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