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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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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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HDTFF-Net: Hierarchical Deep Texture Features Fusion Network for High-Resolution Remote Sensing Scene Classification

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, Yifan Cong, Shiru Zhang, Yan Wu, Peng Zhang   +4 more
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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, Shengjia Zhang, Jinyu Li, Haiying Liu, Hongchun Zhu   +4 more
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STNet: shape and texture joint learning through two-stream network for knowledge-guided image recognition

Frontiers in Neuroscience, 2023
IntroductionThe human brain processes shape and texture information separately through different neurons in the visual system. In intelligent computer-aided imaging diagnosis, pre-trained feature extractors are commonly used in various medical image ...
Xijing Wang, Hongcheng Han, Mengrui Xu, Mengrui Xu, Shengpeng Li, Dong Zhang, Dong Zhang, Shaoyi Du, Meifeng Xu   +8 more
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An Improved Visual Odometer Based on Lucas-Kanade Optical Flow and ORB Feature

IEEE Access, 2023
Visual odometer is an important part of SLAM system. Visual odometer based on feature points is the current mainstream. Featured based method completes the positioning by extracting feature points and matching descriptors.
Lingjun Zhong, Limin Meng, Wei Hou, Li Huang   +3 more
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Roughness Analysis of Sea Surface From Visible Images by Texture

IEEE Access, 2020
This paper presents a roughness analysis of sea surface from visible images by feature measurements of texture for the first time. The algorithms presented in this paper include six texture feature measurements of sea surface use gray level co-occurrence
Hailang Pan, Peilin Gao, Huicheng Zhou, Ruixue Ma, Jingsong Yang, Xin Zhang   +5 more
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Cotton stubble detection based on wavelet decomposition and texture features

Plant Methods, 2021
Background At present, the residual film pollution in cotton fields is crucial. The commonly used recycling method is the manual-driven recycling machine, which is heavy and time-consuming.
Yukun Yang, Jing Nie, Za Kan, Shuo Yang, Hangxing Zhao, Jingbin Li   +5 more
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Pre-Immunotherapy Contrast-Enhanced CT Texture-Based Classification: A Useful Approach to Non-Small Cell Lung Cancer Immunotherapy Efficacy Prediction

Frontiers in Oncology, 2021
Objective: To investigate the utility of the pre-immunotherapy contrast-enhanced CT-based texture classification in predicting response to non-small cell lung cancer (NSCLC) immunotherapy treatment.Methods: Sixty-three patients with 72 lesions who ...
Leilei Shen, Hongchao Fu, Guangyu Tao, Xuemei Liu, Zheng Yuan, Xiaodan Ye   +5 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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