Hierarchical region-of-interest detection

被引：1
|
作者：
Lin, Huibao [1 ]
Si, Jennie
Abousleman, Glen P.
机构：
[1] Arizona State Univ, Dept Elect Engn, Tempe, AZ 85287 USA
[2] Gen Dynam C4 Syst, Scottsdale, AZ 85257 USA
来源：
OPTICAL ENGINEERING | 2006年 / 45卷 / 07期
基金：
美国国家科学基金会;
关键词：
regions of interest; object detection; image processing; image region analysis; machine vision; hierarchical systems;
D O I：
10.1117/1.2219104
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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. (c) 2006 Society of Photo-Optical Instrumentation Engineers.
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页数：11
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