Multisensor image fusion based on biorthogonal multiwavelet transform and region competition

Ri Chang Hong, Yong Ge, Xiu Qing Wu

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

Abstract

This paper proposed a novel region based novel multisensor image fusion algorithm. A graph based segmentation method and biorthogonal multiwavelet transform (BMWT) is combined to segment the features of the source images to produce a region map. Then we use a scheme, which calculates the characteristics of each region of sources in wavelet domain by averaging and selection, to fuse the images. The experiment results demonstrate that our proposed algorithm is comparable to pixel based fusion methods, moreover has many advantages such as reduced sensitivity to noise and mis-registration, more flexible fusion scheme despite its increase in complexity.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages366-370
Number of pages5
ISBN (Print)1424410665, 9781424410668
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07 - Beijing, China
Duration: Nov 2 2007Nov 4 2007

Publication series

NameProceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
Volume1

Conference

Conference2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
Country/TerritoryChina
CityBeijing
Period11/2/0711/4/07

Keywords

  • Average and selection
  • Graph based segmentation
  • Image fusion
  • Region based fusion

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Numerical Analysis

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