Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Abstract and Introduction | HackerNoon
Briefly

from Hackernoon2 months ago
The study introduces TM-CNN, a novel technique combining template matching and convolutional neural networks to identify numerous defects in magnetic labyrinthine patterns from images.
Hackernoonhttps://hackernoon.com/efficient-detection-of-defects-in-magnetic-labyrinthine-patterns-abstract-and-introduction
Identifying junctions and terminals in magnetic labyrinthine patterns is critical, as there can be over a thousand defects per image that affect material properties.
Hackernoonhttps://hackernoon.com/efficient-detection-of-defects-in-magnetic-labyrinthine-patterns-abstract-and-introduction
Read at Hackernoon
#material-science #convolutional-neural-networks #image-processing #defect-detection #tm-cnn
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