Improving Insulators Detection Accuracy via Image Enhancement Techniques: Case of Indigenous Aerial Image Dataset

• Published in: IEEE access Vol. 12; pp. 145582 - 145589
• Main Authors: Muhammad Jiskani, Shafi, Hussain, Tanweer, Ali Sahito, Anwar, Shaikh, Faheemullah, Kumar, Laveet
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Autonomous aerial vehicles; Condition monitoring; contrast limited adaptive histogram equalization (CLAHE); Datasets; Feature extraction; Histograms; hue saturation value (HSV) color space; Image color analysis; Image enhancement; Image segmentation; Image transmission; indigenous dataset; insulator detection; Insulators; Lighting; Machine learning; Monitoring; NTDCL Pakistan; Power transmission lines; Transmission lines; Unmanned aerial vehicles; YOLO; you only look once (YOLO)

The challenging task of insulator monitoring through aerial images is addressed in high voltage transmission network and highlights the limitations of traditional human patrolling with emphasize on utilization of unmanned aerial vehicles UAVs utilizing machine learning algorithms. This research has...