Ensemble patch sparse coding: A feature learning method for classification of images with ambiguous edges

作者：

Highlights：

• Proposed a new sparse coding method based on ensemble image patches.

• Showed the method has potential to classify ambiguous-edge images.

• Showed better performance in comparison to several previous algorithms.

• Applied it to a real-life dataset to classify ambiguous-edge images.

摘要

•Proposed a new sparse coding method based on ensemble image patches.•Showed the method has potential to classify ambiguous-edge images.•Showed better performance in comparison to several previous algorithms.•Applied it to a real-life dataset to classify ambiguous-edge images.

论文关键词：Sparse coding,Ensemble,Image classification,Ambiguous edge

论文评审过程：Received 2 April 2018, Revised 20 December 2018, Accepted 4 January 2019, Available online 15 January 2019, Version of Record 23 January 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.01.017