BackgroundIn the field of content-based image retrieval (CBIR), fused feature-based methods have demonstrated their advanced performance on the popular benchmark datasets. However, it is inevitable increase the vector dimensionality because the fused features have diversity. Therefore, achieving both a low-dimensional representation and high retrieval performance remains challenging.MethodsTo address this problem, an image retrieval method based on the deep contrast-based layer is proposed, namely the deep contrast feature histogram (DCFH), to image retrieval. There are three highlights as fol...
