An adaptive infrared image segmentation method based on fusion SPCNN

作者：

Highlights：

• A fusion simplified pulse coupled neural network (FSPCNN) model for infrared image segmentation is proposed.

• The methods for parameter adaptation and automatic output selection of FSPCNN are developed.

• The proposed method can segment targets from complex backgrounds with high effectiveness and robustness.

摘要

•A fusion simplified pulse coupled neural network (FSPCNN) model for infrared image segmentation is proposed.•The methods for parameter adaptation and automatic output selection of FSPCNN are developed.•The proposed method can segment targets from complex backgrounds with high effectiveness and robustness.

论文关键词：Infrared image segmentation,Pulse coupled neural network,Adaptive parameter setting,Output selection

论文评审过程：Received 13 July 2019, Revised 9 April 2020, Accepted 7 June 2020, Available online 10 June 2020, Version of Record 20 June 2020.

论文官网地址：https://doi.org/10.1016/j.image.2020.115905