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In this work, we incorporate deep concepts into Local Binary Patterns [4], [5], a traditional descriptor for texture analysis. Local Binary Patterns (LBP) is a robust descriptor that briefly summarizes texture information, being invariant to illumination translation and scaling.
1 Ιουν 2013 · In view of the theoretical and practical value of local binary pattern (LBP), the various LBP methods in texture analysis and classification, face analysis and recognition, and other detection...
LBP. The local binary pattern operator is an image operator which transforms an image into an array or image of integer labels describing small-scale appearance (textures) of the image. These labels directly or their statistics are used for further analysis.
Two types of LBP patterns are distinguished: uniform patterns, which have at most two transitions from 0 to 1, and nonuniform patterns. To compute this, a uni-formitymeasureofapatternisdefined,whereU(“pattern”)isthenumberofbitwise transitions from 0 to 1, or vice versa when the bit pattern is considered circular. A
Implicit Active Contours Driven by Local Binary Fitting Energy. The proposed region-based active contour model can be used to segment images with intensity inhomogeneity, which overcomes the limitation of piecewise constant models and has promising application to image denoising.
1 Ιαν 2005 · Abstract and Figures. The LBP operator is a theoretically simple yet very powerful method of analyzing textures. Through its recent extensions, it has been made into a really powerful measure of ...
novel approach to character recognition using local binary pattern networks, or LBPNet, that can learn and perform bit-wise operations in an end-to-end fashion.
