Lane Line Detection Using Hough Transform
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To detect lane lines using the Hough transform approach, MATLAB provides built-in functions including Hough(), houghlines(), and houghpeaks() for comprehensive implementation. The Hough transform algorithm converts image space coordinates to Hough parameter space, where each point (x,y) in the image corresponds to a sinusoidal curve in the Hough space (ρ,θ). The houghpeaks() function identifies local maxima in the accumulator array, representing potential lines, while houghlines() extracts line segments based on these peaks. Critical parameter tuning involves adjusting the peak threshold to control sensitivity, minimum line length to filter short segments, and fill gap to merge broken line segments. Proper preprocessing steps including edge detection (using Canny or Sobel operators) and region-of-interest masking significantly improve detection accuracy for lane markers in road images.
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