Computational vision approach to improve fusion performance

Xiaohui Yuan; Zhaoshan Yuan; Bill Buckles

doi:10.1117/12.477189

31 July 2002 Computational vision approach to improve fusion performance

Xiaohui Yuan, Zhaoshan Yuan, Bill Buckles

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477189
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

Abstract

A simulated annealing based coefficient optimization approach to improve the image fusion performance is proposed in this article. This article tries to answer two questions. Firstly, reference images used in most previous literature to measure the performance of fusion process are often real scene image or the equivalence, which hardly exists in practice. To avoid using the nonexistent real scene image, an alternative reference is created through extracting and merging edge features from each input image. Secondly, the performance measurement needs to be involved in optimization process. Our method adopts a simulated annealing procedure to optimize the Wavelet coefficients combination. As the objective function, the cumulative edge distance is minimized by adjusting the magnitude of the wavelet coefficients according to the error matrix, so as to approaching the optimal coefficient combination.

Citation Download Citation

Xiaohui Yuan, Zhaoshan Yuan, and Bill Buckles "Computational vision approach to improve fusion performance", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477189

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