Results 11 to 20 of about 100,090 (313)

Texture Feature Extraction Methods: A Survey [PDF]

open access: yesIEEE 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
doaj   +4 more sources

Using Texture Feature in Fruit Classification [PDF]

open access: yesEngineering 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
doaj   +1 more source

Texture Feature Extraction Using Tamura Descriptors and Scale-Invariant Feature Transform [PDF]

open access: yesمجلة 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
doaj   +1 more source

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

open access: yesIEEE 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
doaj   +1 more source

Extracting Terrain Texture Features for Landform Classification Using Wavelet Decomposition

open access: yesISPRS 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
doaj   +1 more source

STNet: shape and texture joint learning through two-stream network for knowledge-guided image recognition

open access: yesFrontiers 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   +8 more
doaj   +1 more source

Roughness Analysis of Sea Surface From Visible Images by Texture

open access: yesIEEE 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   +5 more
doaj   +1 more source

An Improved Visual Odometer Based on Lucas-Kanade Optical Flow and ORB Feature

open access: yesIEEE 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   +3 more
doaj   +1 more source

Cotton stubble detection based on wavelet decomposition and texture features

open access: yesPlant 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   +5 more
doaj   +1 more source

Multi-features fusion classification method for texture image

open access: yesThe 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
doaj   +1 more source

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