This paper presents a novel variation of the use of LBP codes. Similarly to Uniform LBP and Local Salient Patterns (LSP), it aims at both obtaining an effective texture description, and decreasing the length of the feature vectors, i.e., of the chains of LBP histograms. Instead of considering uniform codes, we rather consider the codes providing the highest “representativeness” power with respect to texture features. We identify this subset of codes by a generalized notion of entropy. This allows determining the most informative items in an homogeneous set.

Weighty LBP: a new selection strategy of LBP codes depending on their information content / De Marsico, Maria; Riccio, Daniel. - STAMPA. - 10484:(2017), pp. 424-434. (Intervento presentato al convegno 19th International Conference on Image Analysis and Processing, ICIAP 2017 tenutosi a Catania; Italy nel Settembre 2017) [10.1007/978-3-319-68560-1_38].

Weighty LBP: a new selection strategy of LBP codes depending on their information content

De Marsico, Maria
;
2017

Abstract

This paper presents a novel variation of the use of LBP codes. Similarly to Uniform LBP and Local Salient Patterns (LSP), it aims at both obtaining an effective texture description, and decreasing the length of the feature vectors, i.e., of the chains of LBP histograms. Instead of considering uniform codes, we rather consider the codes providing the highest “representativeness” power with respect to texture features. We identify this subset of codes by a generalized notion of entropy. This allows determining the most informative items in an homogeneous set.
2017
19th International Conference on Image Analysis and Processing, ICIAP 2017
entropy; information content; local binary patterns; theoretical computer science; computer science (all)
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Weighty LBP: a new selection strategy of LBP codes depending on their information content / De Marsico, Maria; Riccio, Daniel. - STAMPA. - 10484:(2017), pp. 424-434. (Intervento presentato al convegno 19th International Conference on Image Analysis and Processing, ICIAP 2017 tenutosi a Catania; Italy nel Settembre 2017) [10.1007/978-3-319-68560-1_38].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1015236
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