DocumentCode
3658850
Title
Illumination-invariant line detection with the Gray-scale Hough transform
Author
Veyhong Chhor;Toshiaki Kondo
Author_Institution
School of Information, Computer, and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Thailand
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
19
Lastpage
23
Abstract
In this paper, we present an illuminationinvariant gray scale Hough transform that employs a robust edge detection method as a preprocessing. The edge detection is performed based on the analysis of gradient orientations. Consequently, the proposed method can detect lines in an image regardless of changing lighting conditions. Simulation results also show that the method can detect lines successfully even in the image illuminated non-uniformly.
Keywords
"Image edge detection","Transforms","Gray-scale","Robustness","Lighting","Roads","Conferences"
Publisher
ieee
Conference_Titel
Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2015 IEEE 7th International Conference on
Print_ISBN
978-1-4673-7337-1
Electronic_ISBN
2326-8239
Type
conf
DOI
10.1109/ICCIS.2015.7274541
Filename
7274541
Link To Document