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Proceedings Paper

A fusion method of metallurgical images based on curvelet transform
Author(s): Wencheng Wang; Faliang Chang; Lei Wang
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Paper 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.

Paper Details

Date Published: 19 August 2010
PDF: 8 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78201R (19 August 2010); doi: 10.1117/12.866727
Show Author Affiliations
Wencheng Wang, Weifang Univ. (China)
Shandong Univ. (China)
Faliang Chang, Shandong Univ. (China)
Lei Wang, Shandong Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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