期刊文献+

改进型LOG算子在偏振片绝对角度中的应用 被引量:2

Application of Improved LOG Operator in Absolute Angle of Polarizer
下载PDF
导出
摘要 光学成像系统自身通常都具有一定的偏振效应,严重影响仪器偏振测量精度,而提高仪器中偏振片绝对角度精度能提高偏振定标精度,对校正光学系统自身的偏振特性具有重要的意义。对偏振片直线透光轴Raw图像高精度边缘定位和直线检测是偏振片绝对角度计算的关键步骤。针对传统LOG算子各向同性及虚假边缘与边缘定位精度相矛盾的缺陷,提出改进型一阶导阈值旋转式椭圆对称LOG算子。该算子不仅保留了经典LOG算子的优点,还具有对不同角度的边缘更加有效地进行检测,在保持边缘定位精度下,减少虚假边缘的特点。在处理得到的边缘二值图像上,进行直线检测求出偏振片绝对角度,通过对比分析最小二乘法线性拟合和霍夫变换的直线检测效果,得出霍夫变换能精确计算出偏振片绝对角度。实验证明改进型LOG算子与霍夫变换相结合提高了偏振片绝对角度测量精度,对偏振定标精度具有很大的提高。 Optical imaging system itself generally exhibits inevitable polarization effects that seriously affect the instrument's polarization measurement accuracy. To improve accuracy of the instrument's absolute angle of polarizer can improve accuracy of polarization calibra-tion and it has a significance to correct optical polarization characteristics of the system. Precision edge location and line detection of raw image of polarizer's linear transmission axis are the key steps in computing the absolute angle of polarizer. For traditional LOG operator, it has defects of isotropic and false edge which is in contradiction with the accuracy of edge positioning. In order to solve these defects, propose an improved LOG operator called as the threshold of first derivative rotary elliptical symmetry LOG operator. The operator not only retains the advantages of classical LOG operator,but also has the advantage to detect edges of different angles more efficiently and reduce the quantity of false edges with maintaining the accuracy of edge's positioning. Line detection operation is taken on the binary im-age after edge detection to computing absolute angle of polarizer. By analyzing and comparing results of line detection of least-squares linear fitting and Hough transform,it is known that Hough transform can accurately calculate the absolute angle of polarizer. Experiments show that improved LOG operator combined with Hough transform can enhance the accuracy of absolute angle of polarizer and the cali-bration accuracy of polarization.
出处 《计算机技术与发展》 2014年第5期164-167,172,共5页 Computer Technology and Development
基金 国家自然科学基金资助项目(41201368)
关键词 偏振定标 绝对角度 高斯拉普拉斯算子 椭圆对称 一阶导阈值 霍夫变换 polarization calibration absolute angle Laplacian of Gaussian elliptical symmetry threshold of first derivative Hough trans-form
  • 相关文献

参考文献11

  • 1顾行发,陈兴峰,程天海,李正强,余涛,谢东海,许华.多角度偏振遥感相机DPC在轨偏振定标[J].物理学报,2011,60(7):165-172. 被引量:27
  • 2Xu Zhixiang, Xia Qiang, Chen Jianfeng. The performances of the Laplacian of binomial distribution and the discrete Lapla- cian of Gaussian edge detection operators [ C ]//Proc of IEEE international conference on system, man and cybernetics. Vancouver: IEEE, 1995:673 -678.
  • 3Pei Liang, Xie Zhiwei, Dai Jiguang. Joint edge detector based on Laplacian pyramid[ C ]//Proc of 3rd international congress on image and signal processing. [ s. l. ] : [ s. n. ] ,2010:978- 982.
  • 4Huertas A, Medioni G. Detection of intensity changes with subpixel accuracy using Laplacian-Gaussian masks[ J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1986, PA- MI-8(5) :651-664.
  • 5Marr D,Hildreth E C. Theory of edge detection [ J ]. Proceedings of the Royal Society of London, 1980,207 (1167) :187- 217.
  • 6Zhang Mengmeng ,Li Xia, Yang Zhihui. A novel zero-crossing edge detection method based on multi- scale space theory [ C]//Proc of ICSP. Beijing:IEEE,2010:1036-1039.
  • 7Haralick R M. Digital step edges from zero crossings of second directional derivatives [ J ]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1984, PAMI-6 ( 1 ) :58-68.
  • 8杨振亚,王勇,王成道.LOG算子边缘检测方法的改进方案[J].计算机应用与软件,2004,21(9):87-89. 被引量:13
  • 9赵小川,罗庆生,陈少波.改进型图像中的直线快速检测[J].光学精密工程,2010,18(7):1654-1660. 被引量:16
  • 10Dai Bo, Pan Ye, Liu Hui, et al. An improved RHT algorithm to detect line segments [ C ]//Proc of international conference on image analysis and signal processing. Zhejiang: [ s. n. ] ,2010 : 407-410.

二级参考文献23

  • 1王建勇,周晓光,廖启征.一种改进的直线检测算法[J].计算机工程,2006,32(16):172-173. 被引量:10
  • 2SIAGIA C,ITTI L.Rapid biologically-inspired scene classification using features shared with visual attention[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2007,29(2):300-312.
  • 3GUILHEMRE N,DESONZ A,AVINASH C K.Vision for mobile robot navigation:a survey[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(2):237-267.
  • 4HUANG K Y,YOU J D,CHEN K J.Hough transform neural network for seismic pattern detection[C].Proceedings of 2006 IEEE International Joint Conference on Neural Network,2006:2453-2458.
  • 5SHI W Z,SHAKER A.The line-based transformation model(LBTM) for image-to-image registration of high-resolution satellite image data[J].International Journal of Remote Sensing,2006,27(14):3001-3012.
  • 6NUNN C,KUMMERT A,MULLER-SCHNEIDE-NS S.A two stage detection module for traffic signs[C].Proceedings of 2008 IEEE International Conference on Vehicular Electronics and Safety,2008:271-275.
  • 7GALAMBOS C,KITTLER J,MATAS J.Gradient based progressive probabilistic Hough transform[J].Image Signal Processing,2001,148(3):158-165.
  • 8KYRKI V,KALVIAINEN H.Combination of local and global line extraction[J].Real-time Imaging,2000,6(2):79-91.
  • 9DAUBECHIES I,SWEIDENS W.Factoring wavelet transforms into lifting steps[J].Journal of Fourier Analysis and Applications,1998,4(3):247-269.
  • 10DAHYOT R.Statistical Hough transform[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(8):1502-1509.

共引文献53

同被引文献15

引证文献2

二级引证文献15

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