Local parallel cross pattern: A color texture descriptor for image retrieval
dc.contributor.author
dc.date.accessioned
2019-01-31T11:59:18Z
dc.date.available
2019-01-31T11:59:18Z
dc.date.issued
2019-01-14
dc.identifier.uri
dc.description.abstract
Riding the wave of visual sensor equipment (e.g., personal smartphones, home security cameras, vehicle cameras, and camcorders), image retrieval (IR) technology has received increasing attention due to its potential applications in e-commerce, visual surveillance, and intelligent traffic. However, determining how to design an effective feature descriptor has been proven to be the main bottleneck for retrieving a set of images of interest. In this paper, we first construct a six-layer color quantizer to extract a color map. Then, motivated by the human visual system, we design a local parallel cross pattern (LPCP) in which the local binary pattern (LBP) map is amalgamated with the color map in “parallel” and “cross” manners. Finally, to reduce the computational complexity and improve the robustness to image rotation, the LPCP is extended to the uniform local parallel cross pattern (ULPCP) and the rotation-invariant local parallel cross pattern (RILPCP), respectively. Extensive experiments are performed on eight benchmark datasets. The experimental results validate the effectiveness, efficiency, robustness, and computational complexity of the proposed descriptors against eight state-of-the-art color texture descriptors to produce an in-depth comparison. Additionally, compared with a series of Convolutional Neural Network (CNN)-based models, the proposed descriptors still achieve competitive results
dc.description.sponsorship
This research was funded by the National Nature Science Foundation of China, grant number [61871106],
the Fundamental Research Grant Scheme for the Central Universities, grant number [130204003], the Project of
Shandong Province Higher Educational Science and Technology Program, grant number [J16LN68], the Shandong
Province Natural Science Foundation, grant number [ZR2017QF011] and the National Key Technology Research
and Development Programme of the Ministry of Science and Technology of China, grant number [2014BAI17B02
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
MDPI (Multidisciplinary Digital Publishing Institute)
dc.relation.isformatof
Reproducció digital del document publicat a: https://doi.org/10.3390/s19020315
dc.relation.ispartof
Sensors (Switzerland), 2019, vol. 19, núm. 2, p. 315
dc.relation.ispartofseries
Articles publicats (D-IMA)
dc.rights
Attribution 4.0 International
dc.rights.uri
dc.subject
dc.title
Local parallel cross pattern: A color texture descriptor for image retrieval
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.type.peerreviewed
peer-reviewed
dc.identifier.eissn
1424-8220