Reprint
Deep Power Vision Technology and Intelligent Vision Sensors
Edited by
January 2024
158 pages
- ISBN978-3-7258-0016-2 (Hardback)
- ISBN978-3-7258-0015-5 (PDF)
This book is a reprint of the Special Issue Deep Power Vision Technology and Intelligent Vision Sensors that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary
This reprint provides some up-to-date solutions in the domain of deep power vision technology and intelligent vision sensors. It offers the latest perspectives covering the detection, classification, and some other basic tasks in processing and analyzing the inspection images or videos of power systems.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
insulator umbrella disc shedding; defect detection; dehazing algorithm; feature fusion; attention mechanism; multi-geometric reasoning; insulator defect detection; deep learning; graph convolutional neural network; aerial insulator images; object detection; YOLOX; small target; SIoU; contextual information enhancement; joint heterogeneous representation; transmission line; object detection; infrared image; substation equipment; defect detection; superpixel segmentation; temperature probability density; deep learning; bolt defect recognition; wide residuals; double attention; tilting insulator; orientation detection; angle regression; prior constraint; image classification; attention mechanism; matrix decomposition; attributes; word vectors; geometric transformation; fittings; object detection; transformer; transmission channels; non-homogeneous fog; dual attention; DAMPHN; image defogging; n/a