A survey on matching strategies for boundary image comparison and evaluation

作者：

Highlights：

• We analyze boundary evaluation methods, focusing on those based on (a) boundary matching and (b) analysis of confusion matrices, which are the current most popular trend.

• We review literature in boundary matching, describing the constraints and goals holding for different tasks.

• We propose a taxonomy for boundary matching methods in the context of boundary evaluation.

• We design a novel experimental framework to compare the potential differences between boundary image comparison methods (in general), and boundary matching strategies (in particular).

• We carry out extensive experiments to quantitatively and qualitatively analyze the similarities and divergences in the results by different boundary matching methods.

摘要

•We analyze boundary evaluation methods, focusing on those based on (a) boundary matching and (b) analysis of confusion matrices, which are the current most popular trend.•We review literature in boundary matching, describing the constraints and goals holding for different tasks.•We propose a taxonomy for boundary matching methods in the context of boundary evaluation.•We design a novel experimental framework to compare the potential differences between boundary image comparison methods (in general), and boundary matching strategies (in particular).•We carry out extensive experiments to quantitatively and qualitatively analyze the similarities and divergences in the results by different boundary matching methods.

论文关键词：Boundary image,Boundary evaluation,Linear feature matching,Image comparison

论文评审过程：Received 8 August 2019, Revised 21 December 2020, Accepted 31 January 2021, Available online 17 February 2021, Version of Record 1 March 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.107883