Results 121 to 130 of about 49,054 (309)

Unsupervised texture segmentation using multiresolution Markov random fields [PDF]

open access: yes
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
core  

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

Application of hierarchical self-organizing mapping to invariant recognition of color-texture images

open access: yes, 2002
In this paper, we present a hierarchical self-organizing map applying to scaling and rotation invariant recognition of a 256×256-pixel color-texture image.
Wong, K.W.   +2 more
core  

Resolving the Cu(bdc) Conundrum: Identifying Non‐Porous Packing of Prototypical Coordination‐Network Thin Films Combining Advanced Diffraction Techniques and Computational Modelling

open access: yesAdvanced 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

Modeling of evolving textures using granulometries

open access: yes, 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
core  

Unlocking Exceptional Strengthening in Aluminum Alloys via Interstitial Cottrell Atmosphere Formation

open access: yesAdvanced 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

Machine vision techniques for inspection of dry-fibre composite preforms in the aerospace industry

open access: yes, 1995
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This thesis presents the results of a three year investigation into machine vision techniques for in-process automated inspection of dry-fibre composite ...
Mitchell, Thomas A
core  

Directional edge and texture representations for image processing [PDF]

open access: yes, 2007
An efficient representation for natural images is of fundamental importance in image processing and analysis. The commonly used separable transforms such as wavelets axe not best suited for images due to their inability to exploit directional ...
Yao, Zhen
core  

Magnetic‐Field Control of Surface States in CoFe2O4 Thin Films for Nitrate Electroreduction to Ammonia

open access: yesAdvanced Functional Materials, EarlyView.
Magnetic‐field‐assisted CVD of heterometallic single‐source precursors modulates thin‐film surface electronic structure and interfacial charge transfer. Field‐grown (Cobalt ferrite‐1T)CF‐1T films exhibit stabilized electronic states, lower kinetic barriers, and markedly enhanced nitrate‐to‐ammonia electrocatalysis versus (Cobalt ferrite‐0T) CF‐0T ...
Touraj Karimpour   +11 more
wiley   +1 more source

MTFE-Net: A Deep Learning Vision Model for Surface Roughness Extraction Based on the Combination of Texture Features and Deep Learning Features

open access: yesMetals
Surface roughness, critically measured by the Arithmetical Mean Roughness (Ra), is a vital determinant of workpiece functional performance. Traditional contact-based measurement methods are inefficient and unsuitable for online inspection.
Qiancheng Jin   +8 more
doaj   +1 more source

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