Texture Image Retrieval
0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Texture Image Retrieval
ElBa
ISOD
Latest papers with no code
Texture image retrieval using a classification and contourlet-based features
In this paper, we propose a new framework for improving Content Based Image Retrieval (CBIR) for texture images.
Color Texture Image Retrieval Based on Copula Multivariate Modeling in the Shearlet Domain
In the proposed framework, Gaussian Copula is used to model the dependencies between different sub-bands of the Non Subsample Shearlet Transform (NSST) and non-Gaussian models are used for marginal modeling of the coefficients.
Texture Synthesis Guided Deep Hashing for Texture Image Retrieval
In the next stage, a second network gathers the multi-scale feature representations from the TSN's intermediate layers using channel-wise attention, combines them in a progressive manner to a dense continuous representation which is finally converted into a binary hash code with the help of individual and pairwise label information.
Texture image retrieval using DTCWT-SVD and local binary pattern features
Two kinds of low-level texture features were combined in the approach.
