Digital image processing approach using combined wavelet hidden Markov model for well-being analysis of insulators-Reference-Cited by-同舟云学术

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Digital image processing approach using combined wavelet hidden Markov model for well-being analysis of insulators

Published:2011 Issue:2 Volume:5 Page:171
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Process.

Author:

Murthy V.S.,Gupta S.,Mohanta D.K.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2009.0293?crawler=true&mimetype=application/pdf

Reference25 articles.

1. Aerial inspection of overhead power lines using video: estimation of image blurring due to vehicle and camera motion

2. A laboratory test-bed for an automated power line inspection system

3. Camera sightline pointing requirements for aerial inspection of overhead power lines

4. Insulator condition analysis for overhead distribution lines using combined wavelet support vector machine (SVM)

5. Optimizing well-being: The empirical encounter of two traditions.

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2. A Comparative Analysis of Deep-Learning-Based YOLO Models (V8n and V8s) for Object Detection Using GSV Images;2023 International Conference on Integration of Computational Intelligent System (ICICIS);2023-11-01

3. MI-YOLO: more information based YOLO for insulator defect detection;Journal of Electronic Imaging;2023-07-17

4. Detection of Power Line Insulators in Digital Images Based on the Transformed Colour Intensity Profiles;Sensors;2023-03-22

5. Power Line Extraction and Reconstruction Methods from Laser Scanning Data: A Literature Review;Remote Sensing;2023-02-10

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