A. Makki, A. El-Fishawy, A. Abutaleb, C. Hansen, J. Siegel, S. Kesler
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Change-detection in image sequences (medical application)
Two algorithms for the detection of small changes between images in a noisy environment are described. The first is a nonlinear image processing procedure for reduction and/or suppression of background (clutter), and the enhancement of the small difference between two images. This procedure is based on the recently developed Pontryagin filter and concepts of adaptive noise cancelling and image-sequence analysis. The second procedure is linear and is based on a lattice filter structure. The performance is evaluated through computer simulations and real images.<>
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