A New Algorithm for Linear Features Extraction and Orientation
Lingda Wu · Jisuanji gongcheng · 2006
This paper proposes a new method for linear features extraction and orientation in images,which overcomes the local nature of the conventional line segment grouping approach,while retaining most of its advantages.It tracks edge points,approximates them to piecewise segments using the iterative endpoint fit-and-split algorithm,and groups the discrete line segments from global view.Finally,the paper gives two means for line fitting.The experimental results show that this method has a perfect performance and is suitable to a wide range of real images.