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Binary image reconstruction using local binary pattern priors
, 2017 Szűcs Judit, Balázs Péter Attila
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2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR), 2015
Local Binary Pattern (LBP) is known as one of the most effective local descriptors for image recognition. It is invariant to monotonic gray-scale changes of the image. Local neighborhood information is gathered for each pixel of the image, and a binary code is generated by comparing its value with the value of the center pixel.
Ran Li, Xuezhen Li, Takio Kurita
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Local Binary Pattern (LBP) is known as one of the most effective local descriptors for image recognition. It is invariant to monotonic gray-scale changes of the image. Local neighborhood information is gathered for each pixel of the image, and a binary code is generated by comparing its value with the value of the center pixel.
Ran Li, Xuezhen Li, Takio Kurita
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Number Local binary pattern: An Extended Local Binary Pattern
2011 International Conference on Wavelet Analysis and Pattern Recognition, 2011An extension of local binary pattern, named Number Local binary pattern (NLBP), is presented for texture analysis. First, the method divides the patterns into uniform and non-uniform according to the uniform measure. Second, the non-uniform pattern is further divided into different groups based on the numbers of ‘1’ bits and ‘0’ bits.
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A Bayesian Local Binary Pattern texture descriptor
2008 19th International Conference on Pattern Recognition, 2008In this paper, a Bayesian LBP operator is proposed. This operator is formulated in a novel filtering, labeling and statistic (FLS) framework for texture descriptors. In the framework, the local labeling procedure, which is a part of many popular descriptors such as LBP, SIFT and VZ, can be modeled as a probability and optimization process. This enables
He Chu, Pietikäinen Matti, Ahonen Timo
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Discriminative local binary pattern
Machine Vision and Applications, 2016Local binary pattern (LBP) is widely used to extract image features as well as motion features in various visual recognition tasks. LBP is formulated in quite a simple form and thus enables us to extract effective features with a low computational cost.
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2012
This chapter presents a Feature Local Binary Patterns (FLBP) method that encodes both local and feature information, where the feature pixels may be broadly defined by, for example, the edge pixels, the intensity peaks or valleys in an image, or new feature information derived from the local binary patterns or LBP.
Jiayu Gu, Chengjun Liu
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This chapter presents a Feature Local Binary Patterns (FLBP) method that encodes both local and feature information, where the feature pixels may be broadly defined by, for example, the edge pixels, the intensity peaks or valleys in an image, or new feature information derived from the local binary patterns or LBP.
Jiayu Gu, Chengjun Liu
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Mixed co-occurrence of local binary patterns and Hamming-distance-based local binary patterns
Information Sciences, 2018Abstract Local binary patterns (LBP) have powerful discriminative capabilities. However, traditional methods with LBP histograms cannot capture spatial structures of LBP codes. To extract the spatial structures of an LBP code map, we compute and encode the Hamming distances between LBP codes of a center point and its neighbors on the LBP code map to ...
Feiniu Yuan, Xue Xia, Jinting Shi
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Multiplicative Local Binary Patterns (MuLBP)
10th International Conference on Pattern Recognition Systems (ICPRS-2019), 2019Speckle is a multiplicative noise that greatly deteriorates images. In this paper a model of Local Binary Patterns (LBP) adapted to images with speckle (MuLBP) is proposed. The multiplicative model is constructed by substituting the additive comparisons of the traditional LBP for multiplicative comparisons from the Bigeometric Calculus. The experiments
M. Mora +2 more
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Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval
IEEE Journal of Biomedical and Health Informatics, 2014In this paper, a new image indexing and retrieval algorithm using local mesh patterns are proposed for biomedical image retrieval application. The standard local binary pattern encodes the relationship between the referenced pixel and its surrounding neighbors, whereas the proposed method encodes the relationship among the surrounding neighbors for a ...
Subrahmanyam, Murala, Q M Jonathan, Wu
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Sorted Consecutive Local Binary Pattern for Texture Classification
IEEE Transactions on Image Processing, 2015In this paper, we propose a sorted consecutive local binary pattern (scLBP) for texture classification. Conventional methods encode only patterns whose spatial transitions are not more than two, whereas scLBP encodes patterns regardless of their spatial transition.
Ryu, JB Ryu, Jongbin +2 more
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