[HTML][HTML] Automation of intercept method for grain size measurement: A topological skeleton approach

X Li, L Cui, J Li, Y Chen, W Han, S Shonkwiler… - Materials & Design, 2022 - Elsevier
In the microstructure characterization of metallic materials, the intercept method is one of the
most widely accepted approaches to determine average grain size due to its simplicity …

[HTML][HTML] An improved U-net image segmentation method and its application for metallic grain size statistics

P Shi, M Duan, L Yang, W Feng, L Ding, L Jiang - Materials, 2022 - mdpi.com
Grain size is one of the most important parameters for metallographic microstructure
analysis, which can partly determine the material performance. The measurement of grain …

Automatic dimensional defect detection for glass vials based on machine vision: A heuristic segmentation method

M Eshkevari, MJ Rezaee, M Zarinbal… - Journal of Manufacturing …, 2021 - Elsevier
The vial, a bottle known to store the drug, should be controlled to meet the requirements of
the standard dimension. Due to problems with a visual inspection, there is a need to develop …

Grain boundary detection and second phase segmentation based on multi-task learning and generative adversarial network

M Li, D Chen, S Liu, F Liu - Measurement, 2020 - Elsevier
The size, shape and distribution of microstructures (second phase particles, grains) play an
important role in the mechanical properties of alloy products. So, it is important to detect …

Image-driven machine learning for automatic characterization of grain size and distribution in smart vanadium dioxide thin films

N Zerrouki, AZ Ait-Djafer, F Harrou, S Lafane… - Measurement, 2024 - Elsevier
This study focuses on characterizing grain size and distribution in vanadium dioxide (VO 2)
thin films using Atomic Force Microscope (AFM) images. Traditional segmentation methods …

[HTML][HTML] A framework for the systematic design of segmentation workflows

A Iskakov, SR Kalidindi - Integrating Materials and Manufacturing …, 2020 - Springer
Segmentation of microscopy images is an essential step in most experimental studies of
process–structure–property relationships in advanced materials. Currently employed …

Prior mask R-CNN based on graph cuts loss and size input for precipitation measurement

M Li, D Chen, S Liu, F Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Fusing prior knowledge with data-driven deep learning for measurement is interesting and
challenging. For the detection of metallographic precipitations, the measurements of size …

Multiresolution investigations of thermally aged steels using spherical indentation stress-strain protocols and image analysis

A Iskakov, SR Kalidindi - Mechanics of Materials, 2022 - Elsevier
In recent work, our research group has developed and demonstrated novel multi-resolution
protocols capable of extracting indentation stress-strain (ISS) curves from tests on individual …

Label-free grain segmentation for optical microscopy images via unsupervised image-to-image translation

J Na, J Lee, SH Kang, SJ Kim, S Lee - Materials Characterization, 2023 - Elsevier
Grain boundaries play an important role in governing the mechanical and physical
properties of polycrystalline materials. Therefore, quantitative analysis of grain structure is …

[HTML][HTML] Study of a Bimodal α–β Ti Alloy Microstructure Using Multi-Resolution Spherical Indentation Stress-Strain Protocols

N Millan-Espitia, SR Kalidindi - Journal of Composites Science, 2022 - mdpi.com
Recent investigations have highlighted the multi-resolution and high throughput
characteristics of the spherical indentation experimental and analysis protocols. In the …