Results 91 to 100 of about 49,054 (309)

TPI-Net: Time-Phase Interaction Network Based on Learnable Wavelet Attention for Remote Sensing Change Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remote sensing change detection in urban buildings faces challenges in recognizing building details, extracting texture structures, and suppressing interference from nonchange areas.
Yekai Cui, Jintao Song, Jinjiang Li
doaj   +1 more source

Eye Melanoma Diagnosis System using Statistical Texture Feature Extraction and Soft Computing Techniques. [PDF]

J Biomed Phys Eng, 2023
Olaniyi EO, Komolafe TE, Oyedotun OK, Oyemakinde TT, Abdelaziz M, Khashman A.   +5 more
europepmc   +1 more source

Texture classification via conditional histograms

, 2005
This paper presents a non-parametric discrimination strategy based on texture features characterised by one-dimensional conditional histograms. Our characterisation extends previous co-occurrence matrix encoding schemes by considering a mixture of colour
Aguado, A. S., Nixon, Mark, Montiel, M. E.   +2 more
core  

Wavelet Analysis for the Extraction of Morphological Features for Orthopaedic Bearing Surfaces [PDF]

, 2011
In this chapter three generations of biorthogonal wavelet transforms, for the extraction of morphological structures from micro/nano scalar surfaces in the field of bioengineering, are introduced.
Jiang, X., Zeng, Wenhan, X. Jiang, Paul J., W. Zeng, Jiang, Xiang, Paul J. Scott, Zeng, W., Scott, Paul J.   +8 more
core   +1 more source

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

A Robust Rotation-Equivariant Feature Extraction Framework for Ground Texture-Based Visual Localization

Sensors
Ground texture-based localization leverages environment-invariant, planar-constrained features to enhance pose estimation robustness, thus offering inherent advantages for seamless localization.
Yuezhen Cai, Linyuan Xia, Ting On Chan, Junxia Li, Qianxia Li   +4 more
doaj   +1 more source

Gabor-GLCM-Based Texture Feature Extraction Using Flame Image to Predict the O₂ Content and NO _x. [PDF]

ACS Omega, 2022
Yang G, He Y, Li X, Liu H, Lan T.
europepmc   +1 more source

Triple Junctions as Dislocation‐Like Defects: The Role of Grain Boundary Crystallography Revealed by Experiment and Atomistic Simulation

Advanced Engineering Materials, EarlyView.
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink, Saba Saood, Peter Schweizer, Jörg Neugebauer, Gerhard Dehm   +4 more
wiley   +1 more source

Texture feature extraction from microscope images enables a robust estimation of ER body phenotype in Arabidopsis. [PDF]

Plant Methods, 2021
Basak AK, Mirzaei M, Strzałka K, Yamada K.   +3 more
europepmc   +1 more source

Analysis of GLCM Parameters for Textures Classification on UMD Database Images

, 2015
Texture analysis is one of the most important techniques that have been used in image processing for many purposes, including image classification. The texture determines the region of a given gray level image, and reflects its relevant information ...
Lu, Joan, Mohamed, Alsadegh Saleh Saied
core