Feature Extraction in Flir Imagery Using the Continuous Wavelet Transform (cwt)

نویسندگان

  • Romain Murenzi
  • Lance Kaplan
  • Fernando Mujica
چکیده

This paper investigates the use of the Continuous Wavelet Transform (CWT) for detection of targets in cluttered environments. We rst deene the multiple 2D CWT energy densities in the feature space. We then use the spatial energy density as a computational core for our target-detection algorithm. Results from FLIR images are presented at the end of the paper. We used both the Mexican Hat wavelet and target-adapted wavelets in the simulations.

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تاریخ انتشار 2007