Results 11 to 20 of about 3,060,107 (301)
Texture Feature Extraction Methods: A Survey [PDF]
IEEE Access, 2019 Texture analysis is used in a very broad range of fields and applications, from texture classification (e.g., for remote sensing) to segmentation (e.g., in biomedical imaging), passing through image synthesis or pattern recognition (e.g., for image ...
Anne Humeau-Heurtier
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Identification of cashmere and wool based on LBP and GLCM texture feature selection
Journal of Engineered Fibers and Fabrics, 2023 There are invalid and redundant features in the texture feature extraction method of cashmere and wool fibers, which leads to the low recognition accuracy.
Yaolin Zhu +4 more
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3D Texture Feature Extraction and Classification Using GLCM and LBP-Based Descriptors
Applied Sciences (Switzerland), 2021 Lately, 3D imaging techniques have achieved a lot of progress due to recent developments in 3D sensor technologies. This leads to a great interest regarding 3D image feature extraction and classification techniques.
Romulus Terebes +2 more
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Hyperspectral Classification Based on Texture Feature Enhancement and Deep Belief Networks
Remote Sensing, 2018 With success of Deep Belief Networks (DBNs) in computer vision, DBN has attracted great attention in hyperspectral classification. Many deep learning based algorithms have been focused on deep feature extraction for classification improvement.
Qian Du, Bobo Xi, Jiaojiao Li
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Caries detection enhancement using texture feature maps of intraoral radiographs [PDF]
Oral Radiol, 2018 Dental caries are caused by tooth demineralization due to bacterial plaque formation. However, the resulting lesions are often discrete and thus barely recognizable in intraoral radiography images.
R. Obuchowicz +4 more
semanticscholar +2 more sources
Using Texture Feature in Fruit Classification [PDF]
Engineering and Technology Journal, 2021 Recent advances in computer vision have allowed wide-ranging applications in every area of life. One such area of application is the classification of fresh products, but the classification of fruits and vegetables has proven to be a complex problem and ...
Mauj H. Abd al karim, Abdulamir A. Karim
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Texture Feature Extraction Using Tamura Descriptors and Scale-Invariant Feature Transform [PDF]
مجلة التربية والعلم, 2023 The ability to recognize and distinguish between various textures in an image is made possible by feature extraction, which is a fundamental step in computer vision and image processing. Traditional methods of texture analysis fall short of capturing the
Hasan Maher Ahmed
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Fusing features from different feature descriptors or different convolutional layers can improve the understanding of scene and enhance the classification accuracy.
Wanying Song +4 more
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Remote Sensing, 2022 Vegetation mapping requires accurate information to allow its use in applications such as sustainable forest management against the effects of climate change and the threat of wildfires.
P. Mohammadpour, D. Viegas, C. Viegas
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Extracting Terrain Texture Features for Landform Classification Using Wavelet Decomposition
ISPRS International Journal of Geo-Information, 2021 Accurate landform classification is a crucial component of geomorphology. Although extensive classification efforts have been exerted based on the terrain factor, the scale analysis to describe the macro and micro landform features still needs standard ...
Yuexue Xu +4 more
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