Abstract
A new texture spectrum descriptor was proposed for region description in the paper, which is an extension of center-symmetric local ternary pattern (CS-LTP). Different from CS-LTP, the central piexl of the region are considered together in the definition of the extended center-symmetric local ternary pattern (eCS-LTP). Without adding the dimension of CS-LTP, the proposed operator contains more information of the region. The two methods, CS-LTP and eCS-LTP were tested on two commonly used texture image databases in the context of image retrieval and the experimental results show that eCS-LTP gives better performance than CS-LTP.
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Wu, X., Sun, J. (2011). An Extended Center-Symmetric Local Ternary Patterns for Image Retrieval. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23321-0_56
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DOI: https://doi.org/10.1007/978-3-642-23321-0_56
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