Volume 31 Issue 07
Jul.  2005
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Sun Minglei, Li Dazhai, Yu Zhiwei, et al. Locating cross-shaped image feature with subpixel accuracy based on NCCO[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(07): 780-784. (in Chinese)
Citation: Sun Minglei, Li Dazhai, Yu Zhiwei, et al. Locating cross-shaped image feature with subpixel accuracy based on NCCO[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(07): 780-784. (in Chinese)

Locating cross-shaped image feature with subpixel accuracy based on NCCO

  • Received Date: 30 Oct 2004
  • Publish Date: 31 Jul 2005
  • Normalized cross correlation operator (NCCO) was used for image matching to localize popular cross-shaped features in machine vision. Distribution feature of similarity function around peak zone was found to be four symmetry hyperboloid planes(FSHP). An approach of subpixel localization based on hyperboloid fitting algorithm (HFA) was presented according to the character of FSHP. A coarse pattern position was localized by one-dimension searching in x and y direction respectively to reduce the computational complexity. The discrete NCCO points around the coarse position were fitted to four hyperboloid planes in four quadrants respectively through least square fitting method. The point of four hyperboloid intersection was adopted as subpixel localization position. The HFA was realized on a microscopy vision system of MEMS device micro-assembly work-cell. Experimental results show that the subpixel localization precision of HFA can reach 0.25 pixel. It has greatly decreased computative cost under the comparisons with conicoid fitting algorithm and Gaussian fitting algorithm.

     

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  • [1] West G A W, Clarke T A. A survey and examination of subpixel measurement techniques . In:Proceedings of the Meeting, Close-range Photogrammetry Meets Machine Vision . Bellingham:Society of Photo-optical Instrumentation Engineers,1990.456~463 [2] Canny J. A computational approach to edge detection[J] IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8(6):679~698 [3] Lyvers E P, Owen R M, Mark L A, et al. Subpixel measurements using a moment-based edge operator[J] IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11(12):1293~1308 [4] Alzahrani FM, Chen T A. A real-time edge detector:algorithm and VLSI architecture[J] Real-Time Imaging, 1997, 3:363~378 [5] Brown L G. A survey of image registration techniques[J] ACM Computer Surveys, 1992, 24(4):325~376 [6] 于起峰,陆宏伟,刘肖琳. 基于图像的精密测量与运动测量[M] 京:科学出版社,2002.148~150 Yu Qifeng,Lu Hongwei,Liu Xiaolin. Precision measurement and motion measurement based on image[M] eijing:Science Press,2002.148~150(in Chinese) [7] 朱志刚,林学门 言 ,石定机. 数字图像处理[M] 京:电子工业出版社,2002.420~425 Zhu Zhigang, Lin Xueyin, Shi Dingji. Digital image processing[M] eijing:Publishing House of Electronic Industry,2002.420~425(in Chinese)
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