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Machine learning shadowgraph for particle size and shape characterization
Jiaqi Li, Siyao Shao,
Jiarong Hong
Mechanical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
42
Scopus citations
Overview
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Dive into the research topics of 'Machine learning shadowgraph for particle size and shape characterization'. Together they form a unique fingerprint.
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Keyphrases
Machine Learning
100%
Size-and-shape
100%
Shadow Image
100%
Shadowgraphy
100%
Particle Size Measurement
100%
Particle Shape Characterization
100%
Image Processing
66%
Particle Image
66%
Centroid
66%
Binary Particles
66%
Watershed Approach
33%
Machine Learning Techniques
33%
Industrial Application
33%
Robust Learning
33%
Image Segmentation
33%
Complex Particles
33%
Learning-based
33%
Two-channel
33%
Conventional Images
33%
Clustered Particles
33%
Bubble Image
33%
U-Net
33%
Convolution Neural Network
33%
Degraded Image
33%
Particle Image Analysis
33%
Marker-controlled Watershed
33%
Engineering
Image Processing
100%
Shadowgraph
100%
Learning System
100%
Industrial Applications
50%
Channel Output
50%
Image Analysis
50%
Machine Learning Method
50%
Degraded Image
50%
Convolutional Neural Network
50%
Chemical Engineering
Learning System
100%
Neural Network
33%