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Uncertainty-aware particle segmentation for electron microscopy at varied length scales
Electron microscopy is indispensable for examining the morphology and composition of solid materials at the sub-micron scale. To study the powder...
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Ancient mural segmentation based on multiscale feature fusion and dual attention enhancement
To address the fuzzy segmentation boundaries, missing details, small target losses and low efficiency of traditional segmentation methods in ancient...
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Unsupervised Machine Learning for Automatic Image Segmentation of Impact Damage in CFRP Composites
In this work, a novel unsupervised machine learning (ML) method for automatic image segmentation of low velocity impact damage in carbon fiber...
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X-ray CT Metal Artifact Reduction Using Segmentation and TV Regularisation
AbstractMetal artifacts pose a significant challenge in computed tomography (CT) image reconstruction. In this work, we present an approach based on...
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Semantic segmentation of point clouds of ancient buildings based on weak supervision
Semantic segmentation of point clouds of ancient buildings plays an important role in Historical Building Information Modelling (HBIM). As the...
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Hybrid Level Set Driven by Signed Pressure Force for Welding Defects Segmentation
AbstractThis research paper focuses on the segmentation of welding defects in radiographic images, which plays a crucial role in the diagnosis and...
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Graphite Particle Segmentation Method for Spheroidal Graphite Cast Iron Based on Improved DeepLabv3+
The nodularity in spheroidal graphite cast iron is an important indicator for assessing its quality and performance. It can be utilized for quality...
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Automated Segmentation and Chord Length Distribution of Melt Pools in Complex 3D Printed Metal Artifacts
We present a new computational approach for large-scale segmentation and spatially-resolved analysis of melt pools in complex 3D printed parts and...
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Deep learning for three-dimensional segmentation of electron microscopy images of complex ceramic materials
The microstructure is a critical factor governing the functionality of ceramic materials. Meanwhile, microstructural analysis of electron microscopy...
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CSR-NeT: lung segmentation from chest radiographs using transfer learning technique
Chest radiographs are one of the foremost and widely used imaging modalities for extracting visual features from biomedical images for critical...
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Implementing PointNet for point cloud segmentation in the heritage context
Automated Heritage Building Information Modelling (HBIM) from the point cloud data has been researched in the last decade as HBIM can be the...
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Automatic labeling framework for paint loss disease of ancient murals based on hyperspectral image classification and segmentation
Ancient murals have suffered from continuous damage over time, and especially paint loss disease. Therefore, disease labeling, as the basis for...
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Research on Aluminum Alloy Fracture Fatigue Striation Using Segmentation Method Based on Attention Mechanism and Vgg-Unet
Microscale fatigue striations are the most typical microstructure in the fatigue fractures. Accurate region segmentation and feature recognition for...
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On suppression of chip segmentation during cutting of Ti–6Al–4V alloy through control of texture rather than ductility
Understanding the crystallographic texture is of paramount importance for the suppression of segmentation in chips with refined microstructure in...
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Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy
Austenitic 347H stainless steel offers superior mechanical properties and corrosion resistance required for extreme operating conditions such as high...
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EDS-PhaSe: Phase Segmentation and Analysis from EDS Elemental Map Images Using Markers of Elemental Segregation
Scanning electron microscopy (SEM), combined with energy-dispersive spectroscopy (EDS), is an extensively used technique for in-depth microstructural...
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Tenglong Yuan blue and white texture extraction method based on adaptive gamma correction and K-means clustering segmentation coupled algorithm
Regarding the missing texture details in the texture extraction process of Tenglong Yuan blue and white, illumination is unequal. A meta blue and...
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Deep learning enhanced Watershed for microstructural analysis using a boundary class semantic segmentation
The mechanical properties of the materials are determined by the size and morphology of fine microscopic features. Quantitative microstructural...
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BEGL: boundary enhancement with Gaussian Loss for rock-art image segmentation
Rock-art has been scratched, carved, and pecked into rock panels all over the world resulting in a huge number of engraved figures on natural rock...
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Extraction method of Yuan blue and white porcelain pattern based on multi-scale Retinex and histogram multi-peak threshold segmentation
Aiming at the problem of "crystallization" on the surface of Yuan blue and white ceramics, which causes reflections and loss of image texture, an...