Fast alignment of digital images using a lower bound on an entropy metric

Mert R. Sabuncu, Peter Jeffrey Ramadge

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

1 Scopus citations

Abstract

We propose a registration algorithm based on successively refined quantization and an alignment metric derived from a minimal spanning tree entropy estimate. The metric favors edge alignment, is fast to compute, and compares well in experiments with competing approaches.

Original languageEnglish (US)
Title of host publication2004 International Conference on Image Processing, ICIP 2004
Pages1919-1922
Number of pages4
DOIs
StatePublished - Dec 1 2004
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: Oct 18 2004Oct 21 2004

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume3
ISSN (Print)1522-4880

Other

Other2004 International Conference on Image Processing, ICIP 2004
CountrySingapore
Period10/18/0410/21/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Sabuncu, M. R., & Ramadge, P. J. (2004). Fast alignment of digital images using a lower bound on an entropy metric. In 2004 International Conference on Image Processing, ICIP 2004 (pp. 1919-1922). (Proceedings - International Conference on Image Processing, ICIP; Vol. 3). https://doi.org/10.1109/ICIP.2004.1421454