A fusion method of metallurgical images based on curvelet transform

Wencheng Wang; Faliang Chang; Lei Wang

doi:10.1117/12.866727

19 August 2010 A fusion method of metallurgical images based on curvelet transform

Wencheng Wang, Faliang Chang, Lei Wang

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78201R (2010) https://doi.org/10.1117/12.866727
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

On the basis of analyzing several common algorithms of image fusion, a new multi-focus image fusion method based on curvelet transform is proposed according to the question of metallurgical image fusion. Firstly, two different focal images were decomposed using curvelet transform respectively, and then in the curvelet domain of the two transformed images, the new curvelet coefficients were acquired by adopting a simple fusion rule, which was that the low-frequency coefficients were integrated using the weighted average, and high-frequency coefficients were integrated using choose max. Finally, the fused coefficients are reconstructed to obtain fusion results. Experimental results show that the method is more suitable for metallurgical image fusion than other ways, the fused image will have more information and the observation with naked eyes will be clearer.

Citation Download Citation

Wencheng Wang, Faliang Chang, and Lei Wang "A fusion method of metallurgical images based on curvelet transform", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201R (19 August 2010); https://doi.org/10.1117/12.866727

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