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...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 21; no. 3; p. 1010
Main Authors Cusano, Claudio, Napoletano, Paolo, Schettini, Raimondo
Format Journal Article
LanguageEnglish
Published Switzerland MDPI 02.02.2021
MDPI AG
Subjects
color and Texture
color texture databases
texture descriptors
texture features
texture recognition
texture retrieval
texture retrieval
color texture databases
texture features
color and Texture
texture descriptors
texture recognition
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Summary: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 especially aimed at understanding the specific issues related to texture classification and retrieval. To help the exploration of the database, all the 1129 classes are hierarchically organized in 5 thematic categories and 266 sub-categories. To complete our study, we present an evaluation of hand-crafted and learned visual descriptors in supervised texture classification tasks.
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These authors contributed equally to this work.
ISSN:1424-8220
1424-8220
DOI:10.3390/s21031010