Multi-Resolution Intrinsic Texture Geometry-Based Local Binary Pattern for Texture Classification
IEEE Access, 2020 In this paper, we propose a new hybrid Local Binary Pattern (LBP) based on Hessian matrix and Attractive Center-Symmetric LBP (ACS-LBP), called Hess-ACS-LBP.d The Hessian matrix provides the directional derivative information of different texture regions,
Nuh Alpaslan, Kazim Hanbay
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Fractal descriptors based on the probability dimension: a texture analysis and classification approach [PDF]
, 2014 In this work, we propose a novel technique for obtaining descriptors of gray-level texture images. The descriptors are provided by applying a multiscale transform to the fractal dimension of the image estimated through the probability (Voss) method.
Bruno, Odemir Martinez +1 more
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Completed Extremely Nonnegative DMD for Color Texture Classification
IEEE Access, 2020 Dense micro-block difference (DMD) has achieved good performance in gray texture representation and classification. However, its performance is not satisfactory when representing color texture.
Mingxin Jin +7 more
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On soil textural classifications and soil texture-based estimations [PDF]
Solid Earth, 2017 Abstract. The soil texture representation with the standard textural fraction triplet 'sand-silt-clay' is commonly used to estimate soil properties. The objective of this work was to test the hypothesis that other fraction sizes in the triplets may provide better representation of soil texture for estimating some soil parameters.
Martin Martin, Miguel Angel +3 more
openaire +4 more sources
Impact of Texture Information on Crop Classification with Machine Learning and UAV Images
Applied Sciences, 2019 Unmanned aerial vehicle (UAV) images that can provide thematic information at much higher spatial and temporal resolutions than satellite images have great potential in crop classification.
Geun-Ho Kwak, No-Wook Park
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Texture Classification in Extreme Scale Variations using GANet [PDF]
, 2018 Research in texture recognition often concentrates on recognizing textures with intraclass variations such as illumination, rotation, viewpoint and small scale changes.
Chen, Jie +5 more
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Classification methods for hyperspectral remote sensing images with weak texture features
Journal of Radiation Research and Applied SciencesIn order to provide method support for remote sensing image classification of weak texture region and improve the classification effect, a remote sensing image classification model for weak texture region was constructed.
Yong Wang, Mengyu Gu
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Rotationally invariant texture features using the dual-tree complex wavelet transform [PDF]
, 2000 New rotationally invariant texture feature extraction methods are introduced that utilise the dual-tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new technique that uses a dual tree of wavelet filters to obtain the real and ...
Bull, David +2 more
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Comprehensive Evaluation of ImageNet-Trained CNNs for Texture-Based Rock Classification
IEEE AccessTexture perception plays a vital role in various fields, from computer vision to geology, influencing object recognition, image segmentation, and rock classification.
Dipendra J. Mandal +5 more
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A Novel Texture Descriptor: Circular Parts Local Binary Pattern
Image Analysis and Stereology, 2021 Local Binary Pattern (LBP) are considered as a classical descriptor for texture analysis, it has mostly been used in pattern recognition and computer vision applications. However, the LBP gets information from a restricted number of local neighbors which
Ibtissam Al Saidi +2 more
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