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Optical Engineering

Hierarchical region-of-interest detection
Author(s): Huibao Lin; Jennie Si; Glen P. Abousleman
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Paper Abstract

The objective of region-of-interest (ROI) detection is to identify portions of an image that contain targets. It is an important procedure for reducing data volume without losing important target information. The proposed algorithm aims at generating accurate representations of the ROIs such that each ROI covers one complete target. In addition, computation of the proposed algorithm is reduced by making use of information such as image resolution and approximate size of the targets. For this purpose, a multiscale, hierarchical architecture is developed. Results of the ROI detection in low-quality aerial imagery are provided to illustrate the effectiveness of the proposed algorithm.

Paper Details

Date Published: 1 July 2006
PDF: 11 pages
Opt. Eng. 45(7) 077201 doi: 10.1117/1.2219104
Published in: Optical Engineering Volume 45, Issue 7
Show Author Affiliations
Huibao Lin, Arizona State Univ. (United States)
Jennie Si, Arizona State Univ. (United States)
Glen P. Abousleman, General Dynamics C4 Systems (United States)

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