Dominant point detection based on suboptimal feature selection methods

作者：

Highlights：

• Turning angle curvature utilized for parameter-free dominant point selection.

• For Sarkar’s criteria, our method provides the lowest ISE value as 2.43.

• Besides, for Sarkar’s criteria, our method achieves the highest FOM score as 1.25.

摘要

•Turning angle curvature utilized for parameter-free dominant point selection.•For Sarkar’s criteria, our method provides the lowest ISE value as 2.43.•Besides, for Sarkar’s criteria, our method achieves the highest FOM score as 1.25.

论文关键词：Dominant point detection,Image compression,Suboptimal feature selection,Turning angle curvature,Computer vision

论文评审过程：Received 1 October 2019, Revised 15 June 2020, Accepted 9 July 2020, Available online 15 July 2020, Version of Record 22 July 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113741