Infrared pedestrian segmentation algorithm based on the two-dimensional Kaniadakis entropy thresholding

作者：

Highlights：

• Extend the Kaniadakis entropy thresholding to 2d.

• Derive the recursive formulas of the 2d Kaniadakis entropy thresholding.

• Propose a suppressed strategy in 2d-Kan for infrared pedestrian segmentation.

• Verify the effectiveness of the proposed infrared pedestrian segmentation algorithm.

摘要

•Extend the Kaniadakis entropy thresholding to 2d.•Derive the recursive formulas of the 2d Kaniadakis entropy thresholding.•Propose a suppressed strategy in 2d-Kan for infrared pedestrian segmentation.•Verify the effectiveness of the proposed infrared pedestrian segmentation algorithm.

论文关键词：Infrared pedestrian segmentation,Image thresholding,Two-dimensional gray-level histogram,Kaniadakis entropy

论文评审过程：Received 3 November 2020, Revised 25 March 2021, Accepted 26 April 2021, Available online 27 April 2021, Version of Record 7 May 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107089