Cargando…
T1K+: A Database for Benchmarking Color Texture Classification and Retrieval Methods
In this paper we present T1K+, a very large, heterogeneous database of high-quality texture images acquired under variable conditions. T1K+ contains 1129 classes of textures ranging from natural subjects to food, textile samples, construction materials, etc. T1K+ allows the design of experiments esp...
Autores principales: | Cusano, Claudio, Napoletano, Paolo, Schettini, Raimondo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867336/ https://www.ncbi.nlm.nih.gov/pubmed/33540828 http://dx.doi.org/10.3390/s21031010 |
Ejemplares similares
-
Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity
por: Napoletano, Paolo, et al.
Publicado: (2018) -
Quasi Real-Time Apple Defect Segmentation Using Deep Learning
por: Agarla, Mirko, et al.
Publicado: (2023) -
No Reference, Opinion Unaware Image Quality Assessment by Anomaly Detection
por: Leonardi, Marco, et al.
Publicado: (2021) -
An Open-Source Platform for GIS Data Management and Analytics
por: Piccoli, Flavio, et al.
Publicado: (2023) -
Local Parallel Cross Pattern: A Color Texture Descriptor for Image Retrieval
por: Feng, Qinghe, et al.
Publicado: (2019)