快速多项式拟合亚像素边缘检测算法的研究

陈静, 尚雅层, 田军委

陈静, 尚雅层, 田军委. 快速多项式拟合亚像素边缘检测算法的研究[J]. 应用光学, 2011, 32(1): 91-95.
引用本文: 陈静, 尚雅层, 田军委. 快速多项式拟合亚像素边缘检测算法的研究[J]. 应用光学, 2011, 32(1): 91-95.
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CHEN Jing, SHANG Ya-ceng, TIAN Jun-wei. AFast polynomial fits sub-pixel edge detection algorithms[J]. Journal of Applied Optics, 2011, 32(1): 91-95.
Citation: CHEN Jing, SHANG Ya-ceng, TIAN Jun-wei. AFast polynomial fits sub-pixel edge detection algorithms[J]. Journal of Applied Optics, 2011, 32(1): 91-95.
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快速多项式拟合亚像素边缘检测算法的研究

  • 西安工业大学机电工程学院,陕西西安710032

详细信息
    通讯作者:

    陈静(1986-),女,江苏扬州人,西安工业大学硕士研究生,主要从事数字图像处理及计算机数控技术研究。

  • 中图分类号: TP391.41

AFast polynomial fits sub-pixel edge detection algorithms

  • Department of Mechanical Engineering,Xi’an Technological University,Xi’an 710032,China

摘要

    摘要
  • 摘要: 传统的亚像素边缘检测都是先粗定位，再进行亚像素细分，因而运行时间较长。采用了一种基于多项式拟合的快速亚像素边缘检测算法。该算法根据图像的灰度分布，运用三次多项式拟合图像的边缘实现亚像素定位，从而达到较高的定位精度。采用在边缘附近取点，进行亚像素边缘检测，减少了运行时间。仿真实验给出的实验结果证明了该算法的有效性。
    Abstract: Since traditional edge detection algorithms have the disadvantages of low precision and efficiency in measuring the edge, a sub-pixel edge detection algorithm based on the polynomial fittings is proposed. According to the grey level distribution of the picture, this algorithm uses cubic polynomial to fit the edges to realize sub-pixel localization. Traditional sub-pixel edge detection algorithms detect coarse position at first, and then carry out the sub-divide, therefore the running time is relatively long. This method first fetches some points near the edge, and then carries out the sub-pixel edge detection algorithm, so the running time is reduced. Finally, the experimental results show that the proposed algorithm is very reliable and efficient.
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  • ［1］陈彦燕,王元庆.常用边缘检测算法的定量比较［J］.计算机工程,2008,34(17):202-204. CHEN Yan-yan, WANG Yuan-qing. The ration comparing of commonly used edge detection algorithms［J］. Computer Engineering,2008,34(17):202-204.(in Chinese with an English abstract) ［2］崔天横,高晶敏,刘振慧.经典边缘检测的快速算法［J］.微计算机应用,2007,28(6):575-579.CUI Tian-heng,GAO Jing-min,LIU Zhen-hui.Fast algorithm for edge detection［J］.Microcomputer Applications,2007,28(6):575-579. (in Chinese with an English abstract)［3］赵芳,栾晓明,孙越.数字图像几种边缘检测算子检测比较分析［J］.自动化技术与应用,2009,28(3):68-72.ZHAO Fang,LUAN Xiao-ming,SUN Yue.Edge detection operators in digital image processing［J］. Communication and Information Processing, 2009,28(3):68-72.(in Chinese with an English abstract)［4］马睿,曾理,卢艳平.改进的基于Facet模型的亚像素边缘检测［J］.应用基础与工程科学学报,2009,17(2):296-302.MA Rui,ZENG Li,LU Yan-ping. Improved sub-pixel edge detection method based on Facet model［J］.Journal of Basic Science and Engineering, 2009,17(2):296-302.(in Chinese with an English abstract)［5］郎晓萍,刘力双.图像测量中快速边缘亚像素定位研究［J］.工具技术,2009,43(3):89-92.LANG Xiao-ping,LIU Li-shuang.Study on fast edge sub-pixel detection method for measurement image［J］.Technology of the Tool,2009,43(3):89-92.(in Chinese with an English abstract)［6］罗钧,侯艳,付丽.一种改进的灰度矩亚像素边缘检测算法［J］.重庆大学学报，2008，31(5):549-586.LUO Jun,Hou Yan,FU Li. An improved algorithm for sub-pixel edge detection using gray moment［J］. Journal of Chongqing University,2008,31(5):549-586.(in Chinese with an English abstract)［7］曲迎东,李荣德,袁晓光,等.两级Zernike矩算子的快速亚像素边缘检测［J］.哈尔滨工业大学学报,2009,41(5):178-180.QU Ying-dong, LI Rong-de, YUAN Xiao-guang, et al.Fast sub-pixel edge detection based on two Zernike moments operators with different mask sizes［J］.Journal of Harbin Institute of Technology, 2009,41(5):178-180.(in Chinese with an English abstract)
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  • 刊出日期:  2011-01-14

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