An adaptive method for region of interest identification in images

Sedig Agili, Lakshmi P. Baskaran, Gordon Brinton, Aldo Morales

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

1 Scopus citations

Abstract

This paper presents an automatic region of interest (ROI) generation algorithm for images, where the information provided by the wavelets decomposition is re-used to automatically cluster pixels according to their energy values. The clusters are found using the K-means algorithm and then classified as belonging to the ROI depending of their entropy. Results show the benefits of the algorithm.

Original languageEnglish (US)
Title of host publication2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages761-765
Number of pages5
ISBN (Print)1424403502, 9781424403509
DOIs
StatePublished - Jan 1 2006
Event2006 40th Annual Conference on Information Sciences and Systems, CISS 2006 - Princeton, NJ, United States
Duration: Mar 22 2006Mar 24 2006

Publication series

Name2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings

Other

Other2006 40th Annual Conference on Information Sciences and Systems, CISS 2006
CountryUnited States
CityPrinceton, NJ
Period3/22/063/24/06

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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    Agili, S., Baskaran, L. P., Brinton, G., & Morales, A. (2006). An adaptive method for region of interest identification in images. In 2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings (pp. 761-765). [4067909] (2006 IEEE Conference on Information Sciences and Systems, CISS 2006 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2006.286568