A new proposal for graph-based image classification using frequent approximate subgraphs

作者：

Highlights：

• We propose a new framework for image classification, which uses frequent approximate subgraph patterns as features.

• We propose to compute automatically the substitution matrices needed in the process, instead of using expert knowledge.

• We propose to use a new graph-based image representation.

• We propose a criterion for selecting isomorphism threshold for the graph mining process.

摘要

Highlights•We propose a new framework for image classification, which uses frequent approximate subgraph patterns as features.•We propose to compute automatically the substitution matrices needed in the process, instead of using expert knowledge.•We propose to use a new graph-based image representation.•We propose a criterion for selecting isomorphism threshold for the graph mining process.

论文关键词：Approximate graph mining,Frequent approximate subgraphs,Graph-based image representation,Image classification

论文评审过程：Available online 18 July 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.07.004