Classification of texture based on Bag-of-Visual-Words through complex networks

作者：

Highlights：

• Highlights

• A novel texture descriptor based on Bag-of-Visual-Words through Complex Networks.

• The proposed methodology relies on relevant measures from the complex networks.

• It provides better image description using different threshold and vocabulary sizes.

• It achieved better results when compared with state-of-the-art methods.

• It was evaluated using different classifiers and datasets.

摘要

Highlights•A novel texture descriptor based on Bag-of-Visual-Words through Complex Networks.•The proposed methodology relies on relevant measures from the complex networks.•It provides better image description using different threshold and vocabulary sizes.•It achieved better results when compared with state-of-the-art methods.•It was evaluated using different classifiers and datasets.

论文关键词：Classification,Texture,Bag-of-visual words,Complex networks

论文评审过程：Received 13 September 2018, Revised 16 May 2019, Accepted 16 May 2019, Available online 17 May 2019, Version of Record 22 May 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.05.021