Abstract
Edge detection is the preliminary step in image processing for object detection and recognition procedure. It allows to remove useless information and reduce amount of data before further analysis. The paper contains the comparison of edge detection algorithms optimized for detection of horizontal edges. For comparison purposes the algorithms were implemented in the developed application dedicated to detection of electric line wires. The optimized algorithms were benchmarked on a set of images of electric wires.
Highlights
Detection and recognition of wires of electric lines in an image can be realized using shapes
In this paper we present and analyse a selected set of edge detection algorithms which are well suited for detection of edges representing electric lines in the image
We suggest important modification that increases the performance of the wire detection
Summary
Detection and recognition of wires of electric lines in an image can be realized using shapes. The shape of a wire can be extracted using edges. Such approach is shown, for example, in [1, 2]. Accuracy and execution time of edge detection process can strongly affect the further image processing. In this paper we present and analyse a selected set of edge detection algorithms which are well suited for detection of edges representing electric lines in the image. We have implemented individual algorithms and compared their execution time and accuracy.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
