Fusion algorithm of infrared image and visible image based on the characteristics of target area

Shaofei Wang; Baolin Du; Shiyong Guo; Peng Zhang

doi:10.1117/12.2565205

17 April 2020 Fusion algorithm of infrared image and visible image based on the characteristics of target area

Shaofei Wang, Baolin Du, Shiyong Guo, Peng Zhang

Proceedings Volume 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications; 1145560 (2020) https://doi.org/10.1117/12.2565205
Event: Sixth Symposium on Novel Photoelectronic Detection Technology and Application, 2019, Beijing, China

Abstract

In order to improve the readability of infrared image, this paper proposes an image fusion algorithm based on the characteristics of the target region. The algorithm uses wavelet transform to decompose the multi-source image, and uses image segmentation algorithm to extract the target features of the multi-source image, and then uses different fusion strategies to fuse the infrared image and the visible image according to the features of the infrared image extraction and the low-frequency and high-frequency components of the visible image in different regions. The simulation results show that the algorithm can achieve better image fusion results.

Citation Download Citation

Shaofei Wang, Baolin Du, Shiyong Guo, and Peng Zhang "Fusion algorithm of infrared image and visible image based on the characteristics of target area", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 1145560 (17 April 2020); https://doi.org/10.1117/12.2565205

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