Image fusion algorithm for rock fracture detection using wavelet transform

Jiangyan Xu; Weixing Wang; Liwan Chen

doi:10.1117/12.783471

27 November 2007 Image fusion algorithm for rock fracture detection using wavelet transform

Jiangyan Xu, Weixing Wang, Liwan Chen

Proceedings Volume 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 672337 (2007) https://doi.org/10.1117/12.783471
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China

Abstract

The authors study large panchromatic images and ultraviolet (UV) images. The paper presents an image fusion algorithm based on wavelet transform. Because the panchromatic image contains the detail of rock surface, we select larger low frequency coefficient. At the same time, ultraviolet images contain the important information of rock edge with less detail, so we select larger high frequency coefficient, and use wavelet modulus maximum to find the localizer of UV image edge, use the localizer to enhance the fusion image using panchromatic image. Experiment results show that the fusion algorithm is satisfactory.

Citation Download Citation

Jiangyan Xu, Weixing Wang, and Liwan Chen "Image fusion algorithm for rock fracture detection using wavelet transform", Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 672337 (27 November 2007); https://doi.org/10.1117/12.783471

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