nahavandi-colormapbased-2008.pdf (5.04 MB)
Color map-based image fusion
conference contribution
posted on 2008-01-01, 00:00 authored by Mohammed Hossny, Saeid Nahavandi, Douglas CreightonDouglas CreightonAn image fusion system accepts two source images and produces a 'better' fused image. The term 'better' differs from one context to another. In some contexts, it means holding more information. In other contexts, it means getting more accurate results or readings. In general, images hold more than just the color values. Histogram distribution, dynamic range of colors, and color maps are all as valuable as the color values presenting the pictorial information of the image. This paper studies the problems of fusing images from different domains. It proposes a method to extend the fusion algorithms to fuse image properties that define the interpretation of captured images as well.
History
Event
IEEE International Conference on Industrial Informatics (6th : 2008 : Daejeon, Korea)Pagination
52 - 56Publisher
IEEELocation
Daejeon, KoreaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2008-07-13End date
2008-07-16ISBN-13
9781424421718Language
engNotes
©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Publication classification
E1 Full written paper - refereedCopyright notice
2008, IEEETitle of proceedings
INDIN 2008 : Proceedings of the 6th IEEE International Conference on Industrial InformaticsUsage metrics
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