Intelligent Air Gap Segmentation in Electric Motor Color Images Using a Self-Organizing Map
Image segmentation plays an important role in automating various inspection procedures that are still performed manually. In the production of electric motors, a relevant inspection task involves examining the air gap between the rotor and the stator to identify common defects. This paper introduces...
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| Main Authors: | Bernardo Barancelli Schwedersky, Joao Paulo Zomer Machado, Rodolfo Cesar Costa Flesch, Cassiano Montibeller |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10976649/ |
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