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Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Lane mark extraction and detection system gives vital information for many intelligent transportation systems. There are several active research projects on the system, but none of them is using frequency-based saliency techniques to extract lane regions for Driving Assistant Systems (DASs). In our research, two frequency-based saliency map building techniques, Phase Fourier Transform (PFT) and Quadrature Phase Fourier Transform (QPFT), are implemented in the system and compared with each other according to detection rate. Through the comparison, PQFT, which simultaneously processes on four different channel shows its advantages over PFT, which works on only one intensity feature. The offered methods are tested on real traffic scenes images from UNMC-VIER Autovision database and it could detect discrete lane marks accurately.