Results 151 to 160 of about 100,090 (313)
Spatial Distribution Analysis of Novel Texture Feature Descriptors for Accurate Breast Density Classification. [PDF]
Sensors (Basel), 2022 Li H, Mukundan R, Boyd S.
europepmc +1 more source
3D Printing Innovations in Polymeric Porous and Patterned Architecture
Advanced Functional Materials, EarlyView.Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil +13 more
wiley +1 more source
Constrained Texture Mapping And Foldover-free Condition
, 2010 Texture mapping has been widely used in image processing and graphics to enhance the realism of CG scenes. However to perfectly match the feature points of a 3D model with the corresponding pixels in texture images, the parameterisation which maps a ...
Zhang, Jian J. +2 more
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, 2019 The texture feature extracted using the texture feature extraction method (refer to Method: Texture feature extraction section), is accessible as the file texture_feature_raw.xlsx along with its post-processing as the file texture_feature_processing ...
Xiaodong Cun (6442103) +2 more
core +1 more source
Detection of early decayed oranges by structured-illumination reflectance imaging coupling with texture feature classification models. [PDF]
Front Plant Sci, 2022 Cai Z, Huang W, Wang Q, Li J.
europepmc +1 more source
Advanced Functional Materials, EarlyView.Solution‐processed Cu(bdc) forms prototypical MOF thin films for which a multitude of not fully satisfactory structural models have been suggested. Combining rotating grazing‐incidence diffraction and X‐ray reflectivity on two complementary samples with density‐functional theory, we first discard the previously suggested models and then identify a non ...
Narges Taghizade +7 more
wiley +1 more source
Comparison and Fusion of Multiresolution Features for Texture Classification
, 2004 In this paper, we investigate the texture classification problem with individual and combined multiresolution features, i.e., dyadic wavelet, wavelet frame, Gabor wavelet, and steerable pyramid. Support vector machines are used as classifiers.
Shawe-Taylor, John, Li, Shutao
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Ultrasound Image Texture Feature Learning-Based Breast Cancer Benign and Malignant Classification. [PDF]
Comput Math Methods Med, 2021 Gong H, Qian M, Pan G, Hu B.
europepmc +1 more source
Advanced Functional Materials, EarlyView.Cyclic unloading‐aging‐reloading micro‐tensile tests under various aging durations and temperatures, combined with comprehensive microstructural characterization reveal that the yield point phenomenon in Aluminum‐Carbon (Al‐C) thin films originates from Cottrell atmosphere formation.
Zion Lee +10 more
wiley +1 more source
Modeling of evolving textures using granulometries
, 2006 This chapter describes a statistical approach to classification of dynamic texture images, called parallel evolution functions (PEFs). Traditional classification methods predict texture class membership using comparisons with a finite set of predefined ...
McKenzie, Jennifer +2 more
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