Region-of-interest detection and its application to image segmentation and compression

Huibao Lin, Jennie Si, Glen P. Abousleman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

In many intelligence, surveillance, and reconnaissance (ISR) applications, it is desirable to detect potential targets or regions of interest (ROIs) within various types of digital imagery. These ROIs can then be used to automatically cue sensors and assets, to control intelligent region-of-interest-based image compression algorithms, and to direct further analysis for target identification and recognition. In this article, we present our hierarchical region-of-interest detection (HROID) algorithm that can quickly identify and isolate critical regions within low-quality imagery.

Original languageEnglish (US)
Title of host publication2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007
Pages306-311
Number of pages6
DOIs
StatePublished - Sep 25 2007
Event2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007 - Waltham, MA, United States
Duration: Apr 30 2007May 3 2007

Publication series

Name2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007

Other

Other2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007
CountryUnited States
CityWaltham, MA
Period4/30/075/3/07

ASJC Scopus subject areas

  • Computer Science(all)

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    Lin, H., Si, J., & Abousleman, G. P. (2007). Region-of-interest detection and its application to image segmentation and compression. In 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007 (pp. 306-311). [4227566] (2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007). https://doi.org/10.1109/KIMAS.2007.369827