A new PSO-based approach to fire flame detection using K-Medoids clustering

作者：

Highlights：

• Colour space with a linear multiplication of a conversion matrix and colour features.

• A contrast enhancement method is performed on RGB images before conversion.

• PSO and sample pixels obtain weights of the colour-differentiator conversion matrix.

• K-medoids provides a fitness metric for the PSO procedure.

摘要

•Colour space with a linear multiplication of a conversion matrix and colour features.•A contrast enhancement method is performed on RGB images before conversion.•PSO and sample pixels obtain weights of the colour-differentiator conversion matrix.•K-medoids provides a fitness metric for the PSO procedure.

论文关键词：Fire detection,Particle swarm optimisation,K-medoids,Otsu’s thresholding method,Contrast enhancement

论文评审过程：Received 30 June 2015, Revised 12 September 2016, Accepted 12 September 2016, Available online 6 October 2016, Version of Record 19 October 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.09.021