6 August 2009 An image fusion method based region segmentation and complex wavelets
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Abstract
A fusion algorithm for infrared and visible light images based on region segmentation and the dual-tree complex wavelet transform. Before image segmentation, morphological top-hat filtering is firstly performed on the IR image and visual images respectively and the details of the luminous area are eliminated. Morphological bottom-hat filtering is then performed on the two kinds of images respectively and the details of the dark area are eliminated. Make the top-hat filtered image subtract the bottom-hat filtered image and obtain the enhanced images. Then the threshold method is used to segment the enhanced images. After image segmentation, the DTCWT coefficients from different regions are merged separately. Finally the fused image is obtained by performing inverse DTCWT. The evaluation results show the validity of the presented algorithm.
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Junju Zhang, Yihui Yuan, Benkang Chang, Yiyong Han, Lei Liu, Yafeng Qiu, "An image fusion method based region segmentation and complex wavelets", Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 738421 (6 August 2009); doi: 10.1117/12.835791; https://doi.org/10.1117/12.835791
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