Automatic Detection of Transformer Components in Inspection Images Based on Improved Faster R-CNN

Automatic Detection of Transformer Components in Inspection Images Based on Improved Faster R-CNN

To detect the categories and positions of various transformer components in inspection images automatically, this paper proposes a transformer component detection model with high detection accuracy, based on the structure of Faster R-CNN. In consideration of the significant difference in component s...

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Bibliographic Details
Main Authors: Ziquan Liu, Huifang Wang
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Energies
Subjects:
object detection
transformer component
Faster R-CNN
double feature maps
relative position features
random forests
image processing
computer vision
Online Access:https://www.mdpi.com/1996-1073/11/12/3496

Internet

https://www.mdpi.com/1996-1073/11/12/3496

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