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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7490
Title: Local maximum edge binary patterns: A new descriptor for image retrieval and object tracking
Authors: Subrahmanyam M.
Maheshwari R.P.
Balasubramanian R.
Published in: Signal Processing
Abstract: A new algorithm meant for content based image retrieval (CBIR) and object tracking applications is presented in this paper. The local region of image is represented by local maximum edge binary patterns (LMEBP), which are evaluated by taking into consideration the magnitude of local difference between the center pixel and its neighbors. This LMEBP differs from the existing LBP in a manner that it extracts the information based on distribution of edges in an image. Further, the effectiveness of our algorithm is confirmed by combining it with Gabor transform. Four experiments have been carried out for proving the worth of our algorithm. Out of which three are meant for CBIR and one for object tracking. It is further mentioned that the database considered for first three experiments are Brodatz texture database (DB1), MIT VisTex database (DB2), rotated Brodatz database (DB3) and the fourth contains three observations. The results after being investigated show a significant improvement in terms of their evaluation measures as compared to LBP and other existing transform domain techniques. © 2011 Elsevier B.V.
Citation: Signal Processing (2012), 92(6): 1467-1479
URI: https://doi.org/10.1016/j.sigpro.2011.12.005
http://repository.iitr.ac.in/handle/123456789/7490
Issue Date: 2012
Keywords: Image retrieval
Local binary patterns (LBP)
Object tracking
Texture
ISSN: 1651684
Author Scopus IDs: 37062150200
8941720600
7103127999
Author Affiliations: Subrahmanyam, M., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, India
Maheshwari, R.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, India
Balasubramanian, R., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, India
Funding Details: This work was supported by the Ministry of Human Resource and Development India under grant MHR-02-23-200 (429) .
Corresponding Author: Maheshwari, R.P.; Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, India; email: rpmaheshwari@ieee.org
Appears in Collections:Journal Publications [EE]

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