A New Hough Transform Based Line Recognition Method
Yongfeng Zhang, Weijian Ren · Journal of Yangtze University · 2011
When the current calculation of straight line Hough Transform is larger,the accuracy is not high,the table slope of the fraction is improved for Hough transform to construct the gradient threshold,the classification of pixels,setting the gradient threshold filtering straight out of the pixel is to solve the shortcomings of large computing Hough transform;the least square method and the combination of this improved Hough transform,the first data point on the Hough transform is to find fitting line,and then the data using the least square method point is to fit a straight line to improve recognition accuracy,so that both the direct use of Hough transform is to overcome the identified shortcomings when accuracy is not high,and to overcome the least shortcomings of squares fitting for a straight line at the point.Experiments show that the slope of image recognition algorithm meets the requirements of practical application.