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Title: Automatic Detection of Regulatory Traffic Signs via Circle Detection by Post Edge Detection Applied to Straight Line Hough Transform
Authors: Uluskan, Seçkin
Issue Date: 2020
Abstract: Automatic traffic sign recognition is a crucial application of Driver Assistance Systems for safe and comfortable driving conditions. The major step of traffic sign recognition is to detect and localize the traffic signs if they exist. An important portion of traffic signs (i.e. regulatory traffic signs) has circular shape. They include vital information about the traffic rules and regulations (especially the speed limits). Therefore, this study introduces an innovative circular detection method to detect and localizes the circular traffic signs. In the literature, it is known that a circle creates a distinctive sinusoidal structure in Straight Line Hough Transform (SLHT). This study exploits this notion in circle detection by trying to catch a part of the envelopes of this sinusoidal structure. First, post edge detection is applied to SLHT, and this new image is called H-Edge image. Then, edge linking is performed on H-Edge image to obtain multiple candidate curves. By sinusoid curve fitting and sinusoidal normalization, the curves belonging to the sinusoidal structure are identified, so the circle in the original image is detected. Furthermore, a new iterative linear image segmentation method which is based on finding local minima in SLHT is proposed. Combining these methods and color filtering, a new innovative method for circular traffic sign detection is obtained. For certain sample images, the new method successfully detects and localizes circular traffic signs, and it is shown that it can perform faster than Circular Hough Transform methods.
ISSN: 2587-0963
Appears in Collections:Tez Koleksiyonu
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