DOI QR코드

DOI QR Code

Moving Pixel Displacement Detection using Correlation Functions on CIS Image

  • Ryu, Kwang-Ryol (Department of Electronic Engineering, Mokwon University) ;
  • Kim, Young-Bin (Department of Electronic Engineering, Mokwon University)
  • 투고 : 2010.07.01
  • 심사 : 2010.07.01
  • 발행 : 2010.08.31

초록

Moving pixel displacement detection algorithm using correlation functions for making panorama image on the continuous images is presented in this paper. The input images get from a CMOS image sensor (CIS). The camera is maintained by constant brightness and uniform sensing area in test input pattern. For simple navigation and capture image has to 70% overlapped region. A correlation rate in two image data is evaluated by using reference image with first captures, and compare image with next captures. The displacement of the two images are expressed to second order function of x, y and solved with finding the coefficient in second order function. That results in the change in the peak correlation displacement from the reference to the compare image, is moving to pixel length. The navigating error is reduced by varying the path because the error is shown in the difference of the positioning vector between the true pixel position and the navigated pixel position. The algorithm performance is evaluated to be different from the error vector to vary the navigating path grid.

키워드

참고문헌

  1. Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Prentice-Hall, 2002.
  2. Kwang Ryol Ryu, Young Bin Kim, Chang Woo Hur, Robert J.Sclabassi, "Moving Path Tracing of Image Central Position with Autocorrelation Function" KIMICS Spring Conference, pp.302-305, Oct 2008
  3. James Davis, "Mosaics of Scenes with Moving Objects", in Proc. Conf. Computer Vision and Pattern Recognition, pp.354-360, 1998.
  4. Assaf Zomet, Anat Levin, Shmuel Peleg, Yair Weiss, "Seamless Image Stitching by Minimizing False Edges", Transactions on Image Processing, Vol.15, No:4, pp.969-977, Apr 2006. https://doi.org/10.1109/TIP.2005.863958
  5. Richard Szeliski, "Image Alignment and stitching: A Tutorial", Microsoft Research, September 27. 2004
  6. Matthew Alun Brown, "Multi-Image Matching using Invariant Features", University of British Columbia, July 26. 2005.
  7. Jong-Woong Choe, Tae-Kyun Kim "A Study for Enhancement of Fluid Flow Image Strained By CCD's Characteristic", Korea Informatin Science Society, Vol.23, No.2, pp.387-390, Oct 1996.
  8. Ma B, Zimmermann T., Rohde M., Sinkelbach S., He F., Lindenmaier W., Dittmar K.E., "Use of Autostitch for automatic sitching of microscope images", Micron, Vol.38, No.5, pp.492-499, Jul 2007. https://doi.org/10.1016/j.micron.2006.07.027