Impact of multispectral image fusion methods on visual search behavior

Joel Lanir, Masha Maltz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Image fusion has gained importance in various target-based tasks with the advance of multispectral imaging. In this study, we examine three different fusion methods by comparing human observers' target detection performance with the resultant fused images. In the experiment reported here, participants' eye movements were recorded as they searched for targets. We introduce a novel method to compensate for eye tracker precision limitations and to enable analysis of eye movement data of different image samples even for detection tasks with small targets. Results indicated that the false color and principal components fusion methods attracted observer attention; a result which we contend shows superiority of those fusion methods over simple averaging.

Original languageEnglish
Title of host publication2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI
Pages199-202
Number of pages4
DOIs
StatePublished - 1 Dec 2006
Event2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI - Eilat, Israel
Duration: 15 Nov 200617 Nov 2006

Publication series

NameIEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Conference

Conference2006 IEEE 24th Convention of Electrical and Electronics Engineers in Israel, IEEEI
Country/TerritoryIsrael
CityEilat
Period15/11/0617/11/06

Keywords

  • Eye movements
  • Image fusion
  • Multispectral imaging
  • Visual interface
  • Visual search

Fingerprint

Dive into the research topics of 'Impact of multispectral image fusion methods on visual search behavior'. Together they form a unique fingerprint.

Cite this