The invention relates to a
lane detection method for improving
Gabor transform and updating vanishing points. The
lane detection method for improving the
Gabor transform and updating the vanishing points includes the steps that 1, an original lane image is input; 2, graying pretreatment is conducted on the original image; 3, an improved two-dimensional
Gabor filter is adopted to extract gray levelimage texture features in multiple scales and multiple directions; 4,
principal component analysis is conducted on the
image texture features to obtain texture features which have large influences onthe vanishing points; 5, according to the texture features determined in the step 4, a soft voting method is adopted to detect an initial
vanishing point; 6, according to the initial vanishing pointdetected in the step 5, a
histogram based on angle deviation and
chromatic aberration is adopted to update the initial
vanishing point and determine a lane
border line; 7, according to a new vanishingpoint and the lane
border line in the step 6, a lane range is determined. According to the
lane detection method for improving the
Gabor transform and updating the vanishing points, by adopting the improved
Gabor filter, the accuracy of
texture feature extraction is improved, and the problem is solved that traditional Gabor filters are low in real-time performance; the mode of adopting the
histogram to update the vanishing points and detect the lane
border line is convenient and high in accuracy.