Image Description Using the Relation Between Color and Texture in Retrieval Task

In the past years, significant efforts have been made for new theories and models of descriptors for Content-Based Image Retrieval systems and many effective descriptors, which use color and texture, have been established. This article presents the analysis and modifications of descriptors that use...

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Bibliographic Details
Published inTraitement du signal Vol. 39; no. 1; pp. 21 - 29
Main Authors Aguilar-Domínguez, Kevin Salvador, Pinto-Elías, Raúl, González-Serna, Juan Gabriel, Magadán-Salazar, Andrea
Format Journal Article
LanguageEnglish
Published Edmonton International Information and Engineering Technology Association (IIETA) 01.02.2022
Subjects
Color
Image retrieval
Performance evaluation
Queries
Semantics
System effectiveness
Texture
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Summary:In the past years, significant efforts have been made for new theories and models of descriptors for Content-Based Image Retrieval systems and many effective descriptors, which use color and texture, have been established. This article presents the analysis and modifications of descriptors that use color and texture for the image retrieval task. To provide a complete detailed, and fair analysis, exposing weaknesses in descriptors and ideas to correct them. We evaluated descriptors that use color and texture, with image sets and metrics found in the literature. We compared classical descriptors that only use one low-level characteristic with descriptors that use color and texture. The analysis showed discrepancies between the model and the implementation of one of the descriptors, as well as the descriptors with the best performance, their main weaknesses, and complications when we trying to correct them. likewise, we present variants that improve the image retrieval in some cases.
ISSN:0765-0019
1958-5608
DOI:10.18280/ts.390103