The microstructural characteristics of materials determine their service performance.
Therefore, the rapid identification of material microstructure and the accurate extraction of …

This review presents various image segmentation methods using complex networks. Image
segmentation is one of the important steps in image analysis as it helps analyze and …

Recognizing and segmenting complex texture images such as materials is of great
significance to industrial design and production. Due to the lack of sufficient training samples …

With the development and integration of multiple disciplines, the integration of computer
vision and materials science has greatly changed the original materials research methods …

The aim of this work is to determine effective elastic properties of pultruded Glass Fiber
Reinforced Polymer using micro-CT in conjunction with a two-step numerical …

As a detection tool to identify metal or alloy, metallographic quantitative analysis has
received increasing attention for its ability to evaluate quality control and reveal mechanical …

Abstract Machine learning-driven automated replication micrographs analysis makes
possible rapid and unbiased damage assessment of in-service steel components. Although …

With the development of modern image processing technology, the introduction of image
processing and analysis technology into metallographic microstructure analysis has become …

With the rapid development of economy, automatic detection of road crack becomes a hot
research study. However, it still has immense challenges due to the shading, intensity …

Efficient and accurate segmentation of complex microstructures is a critical challenge in
establishing process-structure-property (PSP) linkages of materials. Deep learning (DL) …