Using Color and Local Binary Patterns for Texture Retrieval

Authors

  • Michela Lecca Fondazione Bruno Kessler, ICT - Technologies of Vision, Trento, Italy

DOI:

https://doi.org/10.23738/ccsj.i72017.03

Keywords:

Image Retrieval, Color, Texture, Local Binary Patterns

Abstract

Texture plays a crucial role to detect and recognize materials in real-world pictures. The choice of the visual descriptors that are the most appropriate for the detection and recognition tasks is generally a hard issue, due to the wide range of circumstances under which the imaged objects can appear. This work addresses the problem of the illuminant invariant texture retrieval, and it proposes two algorithms that combine illuminant invariant color information with the textural cues output by the local binary pattern (LBP) operator. The experiments, carried out on a public database, show that the joint use of color and texture features remarkably improves the retrieval performance of techniques based on LBP only.

Author Biography

Michela Lecca, Fondazione Bruno Kessler, ICT - Technologies of Vision, Trento, Italy

Michela Lecca is a permanent researcher of the Research Unit Technologies of Vision of Fondazione Bruno Kessler (Trento, Italy). Her research interests include color image processing, object recognition, image retrieval and labeling, and low-level image processing for embedded vision systems. She is a member of the International Association for Pattern Recognition IAPR-GIRPR and of the Gruppo Italiano del Colore-Associazione Italiana Colore.

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Lecca M.

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Published

2017-05-14

How to Cite

Lecca, M. (2017) “Using Color and Local Binary Patterns for Texture Retrieval”, Cultura e Scienza del Colore - Color Culture and Science, 7, pp. 29–38. doi: 10.23738/ccsj.i72017.03.

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Papers