P. Maheswari

Work place: K. Ramakrishnan College of Technology, Samayapuram, Tiruchirappalli – 621 112.

E-mail: pmaheswarir@gmail.com


Research Interests: Image Processing, Image Manipulation, Image Compression, Computer systems and computational processes


P. Maheswari is working as assistant professor in Department of ECE in K.Ramakrishnan College of Technology, Samayapuram, Tiruchirappalli, India. Her research interests include image processing and signal processing

Author Articles
Local Binary Pattern Family Descriptors for Texture Classification

By E. Jebamalar Leavline D. Asir Antony Gnana Singh P. Maheswari

DOI: https://doi.org/10.5815/ijigsp.2018.10.04, Pub. Date: 8 Oct. 2018

Texture classification is widely employed in many computer vision and pattern recognition applications. Texture classification is performed in two phases namely feature extraction and classification. Several feature extraction methods and feature descriptors have been proposed and local binary pattern (LBP) has attained much attraction due to their simplicity and ease of computation. Several variants of LBP have been proposed in literature. This paper presents a performance evaluation of LBP based feature descriptors namely LBP, uniform LBP (ULBP), LBP variance (LBPV), LBP Fourier histogram, rotated LBP (RLBP) and dominant rotation invariant LBP (DRLBP). For performance evaluation, nearest neighbor classifier is employed. The benchmark OUTEX texture database is used for performance evaluation in terms of classification accuracy and runtime.

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