Abstract
Color image edge detection algorithm has gradually become the hot spot. Due to the shortage of previous road image detection algorithms, by analyzing the characteristics of Lab model and the road image, a new algorithm for color road image edge detection was presented. The original color data in RGB color model were converted to Lab color model, and the difference information between the gray image from L channel and the red-green image was obtained with difference image method, and the threshold was got through difference information with the optimal threshold value algorithm, then the edge detection was carried out. Through experiment analysis and comparison, we can see that the algorithm in this paper has higher resistance to noise and retains better edges for color road image edge detection than the traditional algorithms.
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