关键词: Sobel 算子；Canny 算法；HSV 颜色空间；边缘检测；ROI 提取；Hough 变换

Abstract: Based on the Canny algorithm, this paper optimizes the weight distribution of operator templates and adopts a separable component strategy of the HSV color space to improve the accuracy and stability of edge detection under noise interference. To mitigate the influence of noise on edge detection, a 5×5 Sobel operator replaces the traditional 3×3 operator to optimize template weight distribution and enhance the gradient response capability of edge detection. Through image color mode conversion, hue, saturation and value components can effectively suppress noise in input images. Generally, image detection accuracy decreases significantly in scenarios with drastic light variations. Combined with morphological operations and the Hough transform, the proposed scheme realizes accurate lane line recognition and fitting, and effectively addresses the low detection accuracy of conventional methods in complex and noisy environments.

Key words: Sobel operator; Canny algorithm; HSV color space; edge detection; ROI extraction; Hough transform