Results 131 to 140 of about 93,638 (313)
What could go wrong? Non-standardized versus standardized food texture classification. [PDF]
Int J Lang Commun Disord, 2022 Sella-Weiss O.
europepmc +1 more source
Texture Segmentation by Evidence Gathering
, 2011 A new approach to texture segmentation is presented which uses Local Binary Pattern data to provide evidence from which pixels can be classified into texture classes.
Waller, Ben, Nixon, Mark, Carter, John
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Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays
Advanced Materials Technologies, EarlyView.Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley +1 more source
DeepLumina: A Method Based on Deep Features and Luminance Information for Color Texture Classification. [PDF]
Comput Intell Neurosci, 2022 Simon AP, Uma BV.
europepmc +1 more source
Advanced Materials Technologies, EarlyView.A self‐healing and electrically conductive liquid metal elastomer enables robust self‐soldering of surface mount devices for soft electronics. Photothermally activated conductive pathways, strong pressure‐sensitive adhesion, and stable package‐integrated contacts provide high conductivity and extreme stretchability.
Su Thiri San +5 more
wiley +1 more source
Advanced Optical Materials, EarlyView.A 2×2 multiplexed GaAsSb nanowire photodetector array integrated with L‐shaped metasurfaces is developed for miniaturized infrared polarimetry. Leveraging non‐radiating anapole states that facilitate near‐field enhancement, the device demonstrates strong polarization selectivity at 835 nm.
Longsibo Huang +14 more
wiley +1 more source
T1K+: A Database for Benchmarking Color Texture Classification and Retrieval Methods. [PDF]
Sensors (Basel), 2021 Cusano C, Napoletano P, Schettini R.
europepmc +1 more source
Unsupervised texture segmentation using multiresolution Markov random fields [PDF]
In this thesis, a multiresolution Markov Random Field (MMRF) model for segmenting textured images without supervision is proposed. Stochastic relaxation labelling is adopted to assign the class label with highest probability to the block (site) being ...
Li, Chang-Tsun
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An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor
Advanced Robotics Research, EarlyView.Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu +7 more
wiley +1 more source
An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation
, 2014 In statistical model based texture feature extraction, features based on spatially varying parameters achievehigher discriminative performances compared to spatially constant parameters. In this paper we formulate anovel Bayesian framework which achieves
Niranjan, Mahesan +3 more
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