Abstract:
A novel color feature descriptor, Multichannel
Distributed Local Pattern (MDLP) is proposed in this
manuscript. The MDLP combines the salient features of both
local binary and local mesh patterns in the neighborhood. The
multi-distance information computed by the MDLP aids in
robust extraction of the texture arrangement. Further, MDLP
features are extracted for each color channel of an image. The
retrieval performance of the MDLP is evaluated on the three
benchmark datasets for CBIR, namely Corel-5000, Corel-10000
and MIT-Color Vistex respectively. The proposed technique
attains substantial improvement as compared to other state-ofthe-art feature descriptors in terms of various evaluation
parameters such as ARP and ARR on the respective databases.
