Abstract
Based on the direction local binary pattern (dLBP) and the center-symmetric local binary pattern (CS-LBP), an improved direction local binary pattern (idLBP) was presented. The directionality, coarseness and contrast of a texture region were considered together in the new definition. LBP, dLBP and idLBP were firstly tested on two commonly used texture image sets. Finally, idLBP was used for electronic trace fossil image retrieval. The results show that idLBP gives the best retrieval performance in the three descriptors.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ojala, T., Pietikäinen, M., Hardwood, D.: A Comparative Study of Texture Measures with Classification based on Feature Distribution. Pattern Recognition 1, 51–59 (1996)
Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution Gray-scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 7, 971–987 (2002)
Zhou, H., Wang, R.S., Wang, C.: A Novel Extended Local-Binary-Pattern Operator for Texture Analysis. Information Sciences 22, 4314–4325 (2008)
Guo, Z., Zhang, L., Zhang, D.: Rotation Invariant Texture Classification using LBP Variance (LBPV) with Global Matching 3, 706–719 (2010)
Tan, X., Triggs, B.: Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions. IEEE Transactions on Image Processing 6, 1635–1650 (2010)
Sun, J.D., Wu, X.S.: Content-based Image Retrieval based on Texture Spectrum Descriptors. Journal of Computer-Aided Design & Computer Graphics 3, 516–520 (2010) (in Chinese)
Heikkilä, M., Pietikäinen, M., Schmid, C.: Description of Interest Regions with Local Binary Patterns. Pattern Recognition 3, 425–436 (2009)
Trefný, J., Matas, J.: Extended set of local binary patterns for rapid object detection. In: Computer Vision Winter Workshop 2010, Libor Spacek, Vojtech Franc, pp. 1–7 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, X., Sun, J. (2013). Electronic Trace Fossil Image Retrieval Based on Extended Direction Local Binary Pattern. In: **, D., Lin, S. (eds) Advances in Mechanical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31528-2_75
Download citation
DOI: https://doi.org/10.1007/978-3-642-31528-2_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31527-5
Online ISBN: 978-3-642-31528-2
eBook Packages: EngineeringEngineering (R0)