Improving CNN-Based Texture Classification by Color Balancing
Journal of Imaging, 2017 Texture classification has a long history in computer vision. In the last decade, the strong affirmation of deep learning techniques in general, and of convolutional neural networks (CNN) in particular, has allowed for a drastic improvement in the ...
Simone Bianco +3 more
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Robustness-Driven Hybrid Descriptor for Noise-Deterrent Texture Classification
IEEE Access, 2019 A robustness-driven hybrid descriptor (RDHD) for noise-deterrent texture classification is presented in this paper. This paper offers the ability to categorize a variety of textures under challenging image acquisition conditions.
Ayesha Saeed +8 more
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A multimodal tactile dataset for dynamic texture classification. [PDF]
Data Brief, 2023 Monteiro Rocha Lima B +3 more
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Analysis of GLCM Parameters for Textures Classification on UMD Database Images [PDF]
, 2015 Texture analysis is one of the most important techniques that have been used in image processing for many purposes, including image classification. The texture determines the region of a given gray level image, and reflects its relevant information ...
Lu, Joan, Mohamed, Alsadegh Saleh Saied
core
Sensors, 2019 This paper presents a new texture descriptor booster, Complete Local Oriented Statistical Information Booster (CLOSIB), based on statistical information of the image. Our proposal uses the statistical information of the texture provided by the image gray-
Óscar García-Olalla +4 more
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Skyrmion spin texture in ferromagnetic semiconductor-superconductor heterostructures
, 2014 We provide a derivation of a spin Skyrmion number classification for two-dimensional topological superconductors constructed from ferromagnetic and Rashba spin-orbit coupled semiconductor-superconductor heterostructures.
Björnson, Kristofer +1 more
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Texture classification for visual data using transfer learning. [PDF]
Multimed Tools Appl, 2022 Goyal V, Sharma S.
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A robust adaptive wavelet-based method for classification of meningioma histology images [PDF]
, 2009 Intra-class variability in the texture of samples is an important problem in the domain of histological image classification. This issue is inherent to the field due to the high complexity of histology image data.
Hans, Volkmar +3 more
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Data on the physicochemical characteristics and texture classification of soil in Bornean tropical heath forests affected by exotic Acacia mangium. [PDF]
Data Brief, 2023 Jaafar SM, Sukri RS.
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Jumping and Refined Local Pattern for Texture Classification
IEEE Access, 2018 The local binary pattern (LBP) model is a simple and effective method of texture classification, but it is sensitive to rotational and noisy images. Although many variants of LBP are proposed by scholars, there are still several urgent problems, such as ...
Tianyu Wang +6 more
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