Semantic segmentation of images exploiting DCT based features and random forest

作者：

Highlights：

• A method for semantic image segmentation based on random forests.

• Novel texture features based on Discrete Cosine Transform to describe image regions.

• The method uses a limited amount of resources and works in realtime.

• The approach shows good performance overcoming other state of the art.

• The system obtains a better accuracy on small classes (i.e., Pedestrians).

摘要

Highlights•A method for semantic image segmentation based on random forests.•Novel texture features based on Discrete Cosine Transform to describe image regions.•The method uses a limited amount of resources and works in realtime.•The approach shows good performance overcoming other state of the art.•The system obtains a better accuracy on small classes (i.e., Pedestrians).

论文关键词：Semantic segmentation,Random forest,DCT,Textons

论文评审过程：Received 29 November 2014, Revised 15 October 2015, Accepted 31 October 2015, Available online 7 November 2015, Version of Record 24 December 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.10.021