Line feature detection algorithm based on edge tracking
Yunpeng Liu · Shenyang Gongye Daxue xuebao · 2010
For the disadvantages of the existing line detection algorithms,a novel line feature detection algorithm based on edge tracking was proposed.The local line was extracted from the image edge using the edge tracking method.A robust line fitting strategy was designed and the fitting line was merged by a certain criterion to obtain exactly the line feature and end parameters in images and realize the complete line detection.The line detection results for the representative images show that the proposed algorithm can detect the global lines in the images accurately and quickly,and its performance is superior to the existing line detection algorithms based on Hough transform and phase group.