Study of image retrieval and classification based on adaptive features using genetic algorithm feature selection

作者：

Highlights：

• A genetic algorithm feature selection for image retrieval and classification.

• Two texture features and color feature were used.

• The first image feature is called an adaptive color histogram for K-means.

• Texture features are adaptive motifs co-occurrence matrix and gradient histogram.

• Image retrieval and classification performance mainly build from three features.

摘要

•A genetic algorithm feature selection for image retrieval and classification.•Two texture features and color feature were used.•The first image feature is called an adaptive color histogram for K-means.•Texture features are adaptive motifs co-occurrence matrix and gradient histogram.•Image retrieval and classification performance mainly build from three features.

论文关键词：Color feature,Texture features,Genetic algorithms,Feature selection,Support vector machine

论文评审过程：Available online 6 May 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.04.033