Visualization using rational morphology and magnitude reduction II

Robert G. Kogan; Sos S. Agaian; Karen Panetta Lentz

doi:10.1117/12.316419

6 July 1998 Visualization using rational morphology and magnitude reduction II

Robert G. Kogan, Sos S. Agaian, Karen Panetta Lentz

Proceedings Volume 3387, Visual Information Processing VII; (1998) https://doi.org/10.1117/12.316419
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

Morphological filters are investigated and employed for detecting and visualizing objects within an image. The techniques developed here will be employed on NASA's Earth Observing System (EOS) satellite data products for the purpose of anomaly detection. Previous efforts have shown the phase information in the spectral domain to be more significant than the magnitude information in representing the location of objects in an image. The magnitude information does provide some useful information for object location, but it is also sensitive to image illumination, blurring, and magnification variations, all of which influence the performance of object detection algorithms. Magnitude reduction techniques in the spectral domain can dramatically improve subsequent object detection methods by causing them to rely less on the magnitude and more on the phase information of the image. We propose three new improvements to our object enhancement and detection techniques. Our first method is an enhancement to our previous magnitude-reduction technique. Our second improvement is a modification of our Rational Morphological Filters in which we raise our resulting image to a power, thereby magnifying our feature detection capability. Third, we look at speed enhancement by utilizing Hartley and Walsh Transforms in place of classical Fourier techniques.

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Robert G. Kogan, Sos S. Agaian, and Karen Panetta Lentz "Visualization using rational morphology and magnitude reduction II", Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); https://doi.org/10.1117/12.316419

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