Results 11 to 20 of about 75,969 (161)
Multispectral Texture Classification in Agriculture
ESANN 2023 proceesdings, 2023 Texture classification plays an important role in different domains including agricultural applications, where unmanned vehicles such as drones equipped with multispectral sensors are gaining more attention. Hence, a solution which does not require substantial computational resources is desired for real-time monitoring. In this contribution, we propose
Mariya Shumska, Kerstin Bunte
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Classification of natural textures in echolocation [PDF]
Proceedings of the National Academy of Sciences, 2004 Through echolocation, a bat can perceive not only the position of an object in the dark; it can also recognize its 3D structure. A tree, however, is a very complex object; it has thousands of reflective surfaces that result in a chaotic acoustic image of the tree. Technically, the acoustic image of an object is its impulse response
Jan-Eric, Grunwald +2 more
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A Novel Texture Classification Method Based on Neutrosophic Truth
Sakarya University Journal of Computer and Information Sciences, 2020 Texture analysis is one of the basic procedures used in solving problems in computer vision and image processing. In this study, we propose a new local binary pattern (LBP) method based on neutrosophic set.
Nuh Alpaslan
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Texture classification with thousands of features [PDF]
Procedings of the British Machine Vision Conference 2002, 2002 The Trace transform is a generalisation of the Radon transform that allows one to construct image features that do not necessarily have meaning in terms of human perception, but they measure different image characteristics. The ability of producing thousands of features from an image allows one to be selective as to which are appropriate for a ...
Alexander Kadyrov +2 more
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Multi-features fusion classification method for texture image
The Journal of Engineering, 2019 Aiming at the problem of poor classification and recognition rate for distorted texture image based on single texture feature, a classification method of texture image based on multi-features fusion is proposed.
Jing Chen, Yanxin Zhang, Yuanyuan Jiang
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Texture analysis for glaucoma classification [PDF]
2015 International Conference on BioSignal Analysis, Processing and Systems (ICBAPS), 2015 In this paper, we present our ongoing work on glaucoma classification using fundus images. The approach makes use of texture analysis based on Binary Robust Independent Elementary Features (BRIEF). This texture measurement is chosen because it can address the illumination issues of the retinal images and has a lower degree of computational complexity ...
Mohammad, Suraya +1 more
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Noise robust Laws’ filters based on fuzzy filters for texture classification
Egyptian Informatics Journal, 2020 Laws’ mask method has achieved wide acceptance in texture analysis, however it is not robust to noise. Fuzzy filters are well known for denoising applications.
Sonali Dash, Manas Ranjan Senapati
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Deep Region Adaptive Denoising for Texture Enhancement
IEEE Access, 2022 Image denoising is a highly challenging problem yet important task in image processing. Recently, many CNN-based denoising methods have made great performances but they commonly denoise blindly texture and non-texture regions together.
Seong-Eui Lee +4 more
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Degradation adaptive texture classification [PDF]
2014 IEEE International Conference on Image Processing (ICIP), 2014 Image degradations such as noise, blur and scale-variations are known to significantly affect the classification process of textured images. However, due to difficult visual according conditions, such degradation are often prevalent in digital real-world images.
Michael Gadermayr, Andreas Uhl
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Applied Sciences, 2021 This paper addresses the problem of data vectors modeling, classification and recognition using infinite mixture models, which have been shown to be an effective alternative to finite mixtures in terms of selecting the optimal number of clusters. In this
Sami Bourouis +4 more
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