Hierarchical region-of-interest detection

Huibao Lin; Jennie Si; Glen P. Abousleman

doi:10.1117/1.2219104

1 July 2006 Hierarchical region-of-interest detection

Huibao Lin, Jennie Si, Glen P. Abousleman

Author Affiliations +

Optical Engineering, Vol. 45, Issue 7, 077201 (July 2006). https://doi.org/10.1117/1.2219104

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.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Huibao Lin, Jennie Si, and Glen P. Abousleman "Hierarchical region-of-interest detection," Optical Engineering 45(7), 077201 (1 July 2006). https://doi.org/10.1117/1.2219104

Published: 1 July 2006

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