DEVELOPMENT OF AN IMPROVED ALGORITHM FOR POWER LINE DETECTION IN OPTICAL IMAGES USING FRANGI FILTER AND FIRST ORDER DERIVATIVE OF GAUSSIAN

📄 Project Abstract

This research presents the development of a Frangi filter and first-order derivative of Gaussian (FF-FDOG) based power line detection (PLD) algorithm as an improvement to the standard PLD algorithm. Vision-based PLD is important in obstacle avoidance in low-altitude flight and also in the surveillance and maintenance of electrical infrastructure. The need for high and real-time detection rates as well as low false alarm in noisy and cluttered images makes it a challenging task. Matched filterand first-order derivative of Gaussian (MF-FDOG) based PLD algorithmwas developed to handle limitations associated with the standard PLD algorithm in terms of its ability to automatically select a problem specific threshold in its edge detection. The MF-FDOG based PLD, however, returned a high false positive rate and a detection rate insufficient for real time processing.The FF-FDOG based threshold is developed in this work using frangi filter (which detects vessel based on the eigen value analysis...