Adaptive SLIC superpixel segmentation based on images of UAV forward-view

Mengxiao Wang; Cheng Xu; Jie Jin; Qi Zhang

doi:10.1117/12.2673744

14 April 2023 Adaptive SLIC superpixel segmentation based on images of UAV forward-view

Mengxiao Wang, Cheng Xu, Jie Jin, Qi Zhang

Proceedings Volume 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022); 1261309 (2023) https://doi.org/10.1117/12.2673744
Event: International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 2022, Chongqing, China

Abstract

Although the original Simple Linear Iterative Clustering (SLIC) superpixel segmentation algorithm is simple and efficient, the segmentation effect has a strong dependence on the number of initial clusters, so it is not free of human-computer interaction when dealing with real images. Aiming at the problem of low automation above, this paper introduces the Gray-level Cooccurrence Matrix (GLCM) and give the formula for calculating the number of initial clustering centers by evaluating the image complexity. An adaptive SLIC algorithm is designed for the characteristics of forward-view images in UAV low-altitude flight scenes, combined with the trade-off of image segmentation accuracy and speed under obstacle avoidance requirements. The experiments show that the method can quantify the image complexity effectively, having a great performance on both classical BSDS500 dataset and the forward-view images in the UAV low-altitude flight scenes.

Citation Download Citation

Mengxiao Wang, Cheng Xu, Jie Jin, and Qi Zhang "Adaptive SLIC superpixel segmentation based on images of UAV forward-view", Proc. SPIE 12613, International Conference on Computer Vision, Application, and Algorithm (CVAA 2022), 1261309 (14 April 2023); https://doi.org/10.1117/12.2673744

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