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Research Article | Open Access

Local pixel patterns

School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510006, China.
Graduate School of Information Security, Korea University, Seoul 136-701, R. O. Korea.
College of Information Engineering, Shenzhen University, Shenzhen 518060, China.
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Abstract

Abstract In this paper, a new class of image texture operators is proposed. We firstly determine that the number of gray levels in each B×B sub-block is a fundamental property of the local image texture. Thus, an occurrence histogram for each B×B sub-block can be utilized to describe the texture of the image. Moreover, using a new multi-bit plane strategy, i.e., representing the image texture with the occurrence histogram of the first one or more significant bit-planes of the input image, more powerful operators for describing the image texture can be obtained. The proposed approach is invariant to gray scale variations since the operators are, by definition, invariant under any monotonic transformation of the gray scale, and robust to rotation. They can also be used as supplementary operators to local binary patterns (LBP) to improve their capability to resist illuminance variation, surface transformations, etc.

Keywords

texturemulti-bitgray scalerotation

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Computational Visual Media
Volume 1 Issue 2,
June 2015
Pages 157-170
DOI: 10.1007/s41095-015-0014-4
Cite this article:
Huang F, Qu X, Kim HJ, et al. Local pixel patterns. Computational Visual Media, 2015, 1(2): 157-170. https://doi.org/10.1007/s41095-015-0014-4

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Revised: 23 January 2015
Accepted: 23 April 2015
Published: 14 August 2015
© The Author(s) 2015

This article is published with open access at Springerlink.com

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