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Proceedings Paper

Adaptive background equalization and image processing applications for laser line scan data
Author(s): Andrew J. Nevis
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Paper Abstract

A background equalization algorithm was developed in 1996 to enhance fluctuating high/low signal strength regions found in laser line scan data. This algorithm was very effective in enhancing low contrast objects obscured in low signal strength regions, and was developed to enhance data for quick and easy inspection of objects within the imagery. The background equalization algorithm is based on a least squares error estimate of the image background, including object pixels. The adaptive background equalization algorithm has modified the background equalization algorithm to exclude object pixels for a more accurate estimate of the image background. This is accomplished by integrating a background mask into the background equalization routine that separates object pixels from background pixels. In addition to using the background mask for improved image enhancement, the background mask can also be used for object detection of discernible objects that stick out from the image background. The adaptive background equalization algorithm and its applications are discussed in this paper.

Paper Details

Date Published: 2 August 1999
PDF: 12 pages
Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); doi: 10.1117/12.357007
Show Author Affiliations
Andrew J. Nevis, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 3710:
Detection and Remediation Technologies for Mines and Minelike Targets IV
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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