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Image recovery from edge primitivesA method for extracting edge primitives from Mach-band patterns is presented together with a method for recovering image representations of features outlined by the edge boundaries. The accuracy, stability, and resolution of these representations are assessed. Since these representations are most commonly used in characterizing targets, this method of low-level processing offers new opportunities for computer vision and high data-compressing coding. Two bandpass filters are considered, the spatially invariant Laplacian of Gaussian filter and spatially variant intensity-dependent spatial (IDS) summation. It is shown that the recovery from the IDS bandpass data is particularly advantageous in applications for which robustness to local and temporal variations in illumination is important. It is concluded that the edge primitives extracted from bandpassed images can be an efficient way to store, transmit, and represent images.
Document ID
19900046523
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Alter-Gartenberg, Rachel
(Old Dominion University Norfolk, VA, United States)
Huck, Friedrich O.
(NASA Langley Research Center Hampton, VA, United States)
Narayanswamy, Ramkumar
(Science and Technology Corp. Hampton, VA, United States)
Date Acquired
August 14, 2013
Publication Date
May 1, 1990
Publication Information
Publication: Optical Society of America, Journal, A: Optics and Image Science
Volume: 7
ISSN: 0740-3232
Subject Category
Instrumentation And Photography
Accession Number
90A33578
Distribution Limits
Public
Copyright
Other

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