Development of a computer vision-based measuring system for investigating the porous media structure

Ruzova, Т.А.; Haddadi, B.; Jonach, T.; Jordan, C.; Harasek, M.

doi:10.1016/j.matchar.2023.113087

“…It further demonstrates the performance and efficiency of digital image classification in the process of automated optimization feature extraction and classification of images. The study by Ruzova et al [10] presents us with a novel computer art system. With the training of machine learning models, the system can automatically recognize and classify different artworks.…”

Section: Related Workmentioning

confidence: 99%

Design and Visualization of Arts and Crafts Based on Simulated Annealing Algorithm

Zhou,

Xue

2024

CAD&A

1

0

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With the rapid development of digital technology, its application in education and teaching is becoming increasingly widespread. As one of the core courses of digital technology, art courses have also begun to introduce digital technology for teaching reform. In traditional art courses, teachers mainly rely on analyzing and explaining student works. This model not only takes up a lot of students' spare time but also causes serious deficiencies in their aesthetic ability, artistic literacy, and other aspects. This study takes various artworks as examples, analyzes the problems existing in traditional teaching modes, and proposes an artwork analysis model based on a simulated annealing algorithm and CAD and computer vision. This model can not only improve students' understanding and aesthetic ability of artworks but also stimulate their interest in learning, improve classroom teaching efficiency, and have certain reference significance for other digital technology and art subject courses.

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“…However, there are many difficulties in establishing a unified theoretical model with a complex mathematical form which requires a large number of tests to calibrate the free parameters to fit the mathematical model and many boundary constraints. With the rapid development of computer vision, computer vision-based research methods have attracted the widespread attention of researchers in the materials field [3]. Information on particle size distribution can be extracted from SEM images by computer vision.…”

Section: Introductionmentioning

confidence: 99%

A node graph using SEM images for material properties prediction with a case study of composite material

Chen,

Yin,

Song

2024

Phys. Scr.

0

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Establishing a mapping model between the microstructure and material properties of composite materials is crucial for material development. Scanning electron microscope (SEM) images are widely used for the prediction of material properties. However, the prediction from a single SEM image is independent and does not fully reflect the microstructure characteristics. To address this issue, this paper proposes a node graph construction strategy for SEM images and establishes a multi-graph-based graph attention network (GAT) material property prediction model to achieve the convergence of mutual complementation in microstructure features by using GAT. Firstly, multiple SEM images are constructed into node graphs by a microstructure feature encoder. Next, the microstructure features of multiple SEM images on the node graphs are mutually complemented and converged by using GAT. Finally, the prediction is carried out by using multiple SEM images. The experimental results show that the proposed method shows better performance than other methods.

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Creative Advertising Design Combining CAD and Generating Adversarial Networks

Meng,

Wei

2024

CAD&A

0

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With the rapid development of digital technology, its application in education and teaching is becoming increasingly widespread. As one of the core courses of digital technology, art courses have also begun to introduce digital technology for teaching reform. In traditional art courses, teachers mainly rely on analyzing and explaining student works. This model not only takes up a lot of students' spare time but also causes serious deficiencies in their aesthetic ability, artistic literacy, and other aspects. This study takes various artworks as examples, analyzes the problems existing in traditional teaching modes, and proposes an artwork analysis model based on a simulated annealing algorithm and CAD and computer vision. This model can not only improve students' understanding and aesthetic ability of artworks but also stimulate their interest in learning, improve classroom teaching efficiency, and have certain reference significance for other digital technology and art subject courses.

show abstract

Development of a computer vision-based measuring system for investigating the porous media structure

Cited by 4 publications

References 29 publications

Design and Visualization of Arts and Crafts Based on Simulated Annealing Algorithm

Design and Visualization of Arts and Crafts Based on Simulated Annealing Algorithm

A node graph using SEM images for material properties prediction with a case study of composite material

Creative Advertising Design Combining CAD and Generating Adversarial Networks

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