Algorithms for automatic electrical power line detection are investigated. In particular, this paper presents a novel tuning technique using the Hough-Transform to improve Bayesian pixel classification accuracy. Connected component analysis is used to remove small components (misclassified pixels) from the classified images. Experimental results presented show that the proposed algorithm outperforms traditional Bayesian classification for power line detection. 1
[[abstract]]A modified Hough transform based on a likelihood principle of connectivity and thickness...
The necessity to have reliable and quality power distribution is increasing, and hence there is grea...
A large amount of data, provided in the form of video data, is acquired during manned inspections fl...
Power line inspection is very important for electric company to keep good maintenance of power line ...
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Scien...
This paper explains how to associate a rigorous probability value to the main straight line feature...
Spatial information captured from optical remote sensors on board unmanned aerial vehicles (UAVs) ha...
Overhead power lines are a common structure used to transmit and deliver electricity to consumers. T...
Inspection of power line infrastructures must be periodically conducted by electric companies in ord...
Spatial information captured from optical remote sensors on board unmanned aerial vehicles (UAVs) ha...
This project aims to construct an autonomous power line inspection system using computer vision to c...
This paper addresses the features of Hough Transform (HT) butterflies suitable for image-based segme...
Image-based power line detection is highly important for threat avoidance when the aerial vehicles f...
Currently, unmanned aerial vehicles (UAVs) are applied to routine inspection tasks of electric distr...
A robust and fast line detection method based on Hough transform (HT) is proposed in this paper. Edg...
[[abstract]]A modified Hough transform based on a likelihood principle of connectivity and thickness...
The necessity to have reliable and quality power distribution is increasing, and hence there is grea...
A large amount of data, provided in the form of video data, is acquired during manned inspections fl...
Power line inspection is very important for electric company to keep good maintenance of power line ...
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Scien...
This paper explains how to associate a rigorous probability value to the main straight line feature...
Spatial information captured from optical remote sensors on board unmanned aerial vehicles (UAVs) ha...
Overhead power lines are a common structure used to transmit and deliver electricity to consumers. T...
Inspection of power line infrastructures must be periodically conducted by electric companies in ord...
Spatial information captured from optical remote sensors on board unmanned aerial vehicles (UAVs) ha...
This project aims to construct an autonomous power line inspection system using computer vision to c...
This paper addresses the features of Hough Transform (HT) butterflies suitable for image-based segme...
Image-based power line detection is highly important for threat avoidance when the aerial vehicles f...
Currently, unmanned aerial vehicles (UAVs) are applied to routine inspection tasks of electric distr...
A robust and fast line detection method based on Hough transform (HT) is proposed in this paper. Edg...
[[abstract]]A modified Hough transform based on a likelihood principle of connectivity and thickness...
The necessity to have reliable and quality power distribution is increasing, and hence there is grea...
A large amount of data, provided in the form of video data, is acquired during manned inspections fl...