Search
Search Results
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
Phase Field
In the formulation of the diffuse interfaceInterfacediffuse (Sect. 1.2 ), the order parameter...
-
Unsupervised Segmentation for Microstructure Identification of High Strength Steel with Superpixel Segmentation and Texture Feature Clustering
The mechanical properties of high strength steel are governed by its microstructure, which typically exhibits a multi-phase composition when the...
-
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...
-
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...
-
A deep learned nanowire segmentation model using synthetic data augmentation
Automated particle segmentation and feature analysis of experimental image data are indispensable for data-driven material science. Deep...
-
Microstructure segmentation with deep learning encoders pre-trained on a large microscopy dataset
This study examined the improvement of microscopy segmentation intersection over union accuracy by transfer learning from a large dataset of...
-
Semantic segmentation and photogrammetry of crowdsourced images to monitor historic facades
Crowdsourced images hold information could potentially be used to remotely monitor heritage sites, and reduce human and capital resources devoted to...
-
Level set segmentation of mammogram images using adaptive cuckoo K-means clustering
Nowadays, the world’s second leading cause of death is due to breast cancer, despite significant medical advances. Segmentation is to be done to...
-
Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images
The segmentation of tomographic images of the battery electrode is a crucial processing step, which will have an additional impact on the results of...
-
Segmentation of Lath-Like Structures via Localized Identification of Directionality in a Complex-Phase Steel
In this work, a segmentation approach based on analyzing local orientations and directions in an image, in order to distinguish lath-like from...
-
Rapid and flexible segmentation of electron microscopy data using few-shot machine learning
Automatic segmentation of key microstructural features in atomic-scale electron microscope images is critical to improved understanding of...
-
New Method for Microstructure Segmentation and Automatic Grain Size Determination Using Computer Vision Technology during the Hot Deformation of an Al-Zn-Mg Powder Metallurgy Alloy
The microstructure plays a crucial role in material properties, with grain size analysis being essential. Thus, this study introduces a novel...
-
Recent progress of artificial intelligence for liquid-vapor phase change heat transfer
Artificial intelligence (AI) is shifting the paradigm of two-phase heat transfer research. Recent innovations in AI and machine learning uniquely...
