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19 July 2024 Change detection based on optimized guided filtering in wide-field video image under low illumination
Chengyou Xie, Zhenhong Jia
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Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132130B (2024) https://doi.org/10.1117/12.3035088
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China
Abstract
To effectively and accurately detect regions with subtle changes in wide-field videos captured by eagle-eye equipment in low-light environments. A two-level change detection (CD) algorithm based on guided filter fusion is proposed to achieve better separation in complicated scenarios. First, the difference images (DIs) is obtained through the difference operator and the extreme minimum ratio operator. At the same time, using Principal Component Analysis (PCA) fuse the global brightness component and the V component are extracted from images to obtain the optimized brightness map. Then, the saliency map is obtained from the optimized brightness map based on the maximum salient pixel and spatial continuity characteristics as a guide for DIs fusion. Finally, a two-level method is proposed to combine the threshold method and clustering algorithm to further suppress the noise and DI normalization. Then, using the K-means algorithm to to generate the final binary change map. Experimental results show that the proposed algorithm can accurately and effectively detect changes in Eagle Eye surveillance video images in low-light environments. Compared with other algorithms, this algorithm reduces the running time and effectively minimizes the interference of light sources and dark spot noise in low-light environments.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Chengyou Xie and Zhenhong Jia "Change detection based on optimized guided filtering in wide-field video image under low illumination", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132130B (19 July 2024); https://doi.org/10.1117/12.3035088
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KEYWORDS
Tunable filters
Video
Image fusion
Image filtering
Video surveillance
Image quality
Light sources and illumination
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