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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Patch-Based Texture Feature Extraction Towards Improved Clinical Task Performance [PDF]
BioengineeringTexture features can capture microstructural patterns and tissue heterogeneity, playing a pivotal role in medical image analysis. Compared to deep learning-based features, texture features offer superior interpretability in clinical applications. However,
Tao Lian, Chunyan Deng, Qianjin Feng
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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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A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm [PDF]
Sensors, 2017 Xin Zhang, Chao Lin
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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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BUILDING EXTRACTION OF POLARIMETRIC SAR IMAGE BASED ON ASSOCIATED FEATURE AND SVM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The identification and extraction of building is a vital task in urban environmental planning and research. High-resolution SAR technology has the advantages of all-day, all-weather and strong penetration, and has become one of the important technical ...
Y. Sheng +5 more
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Feature Analysis in Correlation Filtering Tracker Algorithm [PDF]
Jisuanji gongcheng, 2018 Feature extraction is one of the most important steps in correlation filtering based on tracker algorithm,but existing feature extraction methods do not take into account the effects of feature optimization and feature fusion.As the tracking performance ...
LIU Linfeng,KONG Fanqiang,YAN Xiaole,SHEN Qiu
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Identification Texture of Rice Varieties by Feature Extraction using GLCM [PDF]
E3S Web of Conferences, 2023 Rice is one of the components of staple ingredients included in the issue of world food security in the Sustainable Development Goals (SDGs) program. A large number of varieties of rice types allows deviations in the field by mixing good rice varieties ...
Setiawan Aji +2 more
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Texture feature extraction of coal-rock image based on variogram and local variance image
Gong-kuang zidonghua, 2018 In view of problems of low classification accuracy and algorithmic running efficiency and poor robust property of rotation texture recognition existed in local binary patterns for texture feature extraction of coal-rock, a texture feature extraction ...
HUANG Lei, GUO Chaoya
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A coal-rock image feature extraction and recognition method
Gong-kuang zidonghua, 2017 A coal-rock image feature extraction and recognition method based on binary cross-diagonal texture matrix was proposed. Binary cross-diagonal texture matrix of coal-rock image is extracted firstly. Then feature vector of coal-rock image is constructed by
SUN Jiping, YANG Kun
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