Renk Bileşenleri Yardımıyla Hareketli Hedeflerin Gerçek Zamanlı Tespiti

targets by processing the images provided by a camera. The realized target recognition system made a pixel comparison between the target images pre- recorded in the computer and the target images received from the camera

Renk Bileşenleri Yardımıyla Hareketli Hedeflerin Gerçek Zamanlı Tespiti

Keywords:

-,

___

  • R. H. Seireg, A. E. Barbour, Real Time Target Recognition, IEEE, 0-8186-7548-9/96 (1996).
  • S. Sainath, S. Sarkar, An Approximate Algorithm for Structural Matching of Images, IEEE, 0-8186-8821-1/98 (1998).
  • W. Wu, M. J. Wang, Two-Dimensional Object Recognition Through Two-Stage String Matching, IEEE Trans. On Image Processing, Vol. 8, No. 7, July, (1999).
  • A. Mojsiloviç, J. Hu, A Method for Color Content Matching of Images, IEEE, 0-7803- 4, (2000).
  • X. Huang, S. Zhang, G. Wang, H. Wang, Optimal Matching of Images Using Combined Color Feature and Spatial Feature, Computational Science-ICCS 2006, PT 1, Proceedings, 3991: 411-418, (2006).
  • S. H. Srinivasan, M. Kankanhalli, Wide Baseline Spectral Matching, IEEE, 0-7803- 9, (2003).
  • N. Enami, N. Ukita, M. Kidode, Image Matching Robust to Changes in Imaging Conditions with a Car-Mounted Camera, IEEE, 978-1-4244-2665-2/08, (2008).
  • M. W. Spong, S. Hutchinson, M. Vidyasagar, Robot Modelling and Control, John Wiley&Sons Inc., USA, 385-386, (2006).