A statistical image fusion algorithm for NDE applications

Issue title: Selected Papers from the 13th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2007)

Article type: Research Article

Authors: Kumar, Mrityunjay^a | Ramuhalli, Pradeep^a

Affiliations: [a] Department of Electrical and Computer Engineering, Nondestructive Evaluation Laboratory, Michigan State University, East Lansing, MI 48824, USA. E-mail: {kumarmri, rpradeep}@egr.msu.edu

Abstract: Data fusion techniques have been used extensively in several application areas, including nondestructive evaluation (NDE) applications. This paper proposes a probability density based pixel-level fusion algorithm for NDE applications. The proposed approach models the fusion process as a convex combination of input data. The model parameters are estimated by optimizing the Kullback-Leibler distance between the density functions of the fused and the input data. Preliminary results on multimodal eddy current NDE data from aircraft lap joints indicate the feasibility of the proposed approach.

Keywords: Image fusion, aircraft lap joint, pixel-level fusion

DOI: 10.3233/JAE-2008-989

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 28, no. 1-2, pp. 305-311, 2008