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An adaptive pixel-weighted image fusion algorithm based on local priority for CT and MRI images

  • Harbin Institute of Technology

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

Abstract

The traditional medical image fusion method based on pixel weighting has the problem how to obtain the deciding weights. Using the complementation of the CT and MRI images, an adaptive weighted method based on local priority is proposed. The local brightness and detail information of the two original images is considered and the local priority of the fused image is employed, the more raw information of the two original images can be remained, and the better fusion result of the two kind images is got.

Original languageEnglish
Title of host publicationIMTC'06 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference
Pages420-422
Number of pages3
DOIs
StatePublished - 2006
EventIMTC'06 - IEEE Instrumentation and Measurement Technology Conference - Sorrento, Italy
Duration: 24 Apr 200627 Apr 2006

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

ConferenceIMTC'06 - IEEE Instrumentation and Measurement Technology Conference
Country/TerritoryItaly
CitySorrento
Period24/04/0627/04/06

Keywords

  • Adaptive
  • Image fusion
  • Local priority
  • Medical image

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