Paper Title:
A Novel Image Fusion Method Using Beamlet Transform and Graph Cuts
  Abstract

Graph cuts as an increasingly important tool for solving a number of energy minimization problems in computer vision and other fields, meanwhile beamlet transform as time-frequency and multiresolution analysis tool is often used in the domain of image processing, especially for image fusion. By analyzing the characters of DSA medical image, this paper proposes a novel DSA image fusion method which is combining beamlet transform and graph cuts theory. Firstly, the image was decomposed by beamlet transform to obtain the different subbands coefficients. Then an energy function based on graph cuts theory was constructed to adjust the weight of these coefficients to obtain an optimum fusion object. At last, an inverse of the beamlet transform reconstruct a synthesized DSA image which could contain more integrated accurate detail information of blood vessels. By contrast, the efficiency of our method is better than other traditional fusion methods.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
1092-1096
DOI
10.4028/www.scientific.net/KEM.467-469.1092
Citation
G. M. Zhang, Z. M. Cui, "A Novel Image Fusion Method Using Beamlet Transform and Graph Cuts", Key Engineering Materials, Vols. 467-469, pp. 1092-1096, 2011
Online since
February 2011
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Price
$32.00
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