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Optical Engineering

Segmentation Based On Second-Order Statistics
Author(s): Erica M. Rounds; George Sutty
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Paper Abstract

The gray level or intensity distribution of an image is frequently inadequate to select a good threshold for image segmentation. Considerable improvement can be achieved by a histogram transformation based on second-order gray-level statistics. This paper describes an approach using the co-occurrence matrix. Results are shown for target extraction in forward looking infrared (FLIR) images.

Paper Details

Date Published: 1 December 1980
PDF: 5 pages
Opt. Eng. 19(6) 196936 doi: 10.1117/12.7972640
Published in: Optical Engineering Volume 19, Issue 6
Show Author Affiliations
Erica M. Rounds, The Aerospace Corporation (United States)
George Sutty, General Dynamics (United States)

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