Robust line detection using two-orthogonal direction image scanning

we propose a detector using two-orthogonal direction image scanning (TODIS) with the capability of multi-scale detection by utilizing the prior knowledge of lines. The two step scanning procedures and the prominence filter are designed to impose the geometric constrains on pixel edges for the purpose of providing prior assessment on the structure of line segments. In addition, through dividing the original problem into smaller subproblems, the computational load has been reduced, and there is no extra storage cost for the detector’s adaptiveness on the slope resolution of lines during detection. The simulation results shows significant improved detection accuracy as compared to the popular methods.

► Prior knowledge used: The relationships among pixels are explored by utilizing the imposed constrains. ► Adaptive resolution: Adaptive resolution to the slope requires little storage cost. ► Multiple scales detection: Line Extraction refers to the length, without exhausting all edge pixels. ► Advantages: TODIS reduces the computation load, storage requirements and improves line detection accuracy.