Considering that existing line segment detection algorithms may detect a long line segment as several short
fragmented segments, a novel line segment linking algorithm is proposed in this paper to improve the performance of
line segment detection. Since the gradient orientations of points on the Right Linking Segments (RLSs) have better
consistency than those on Wrong Linking Segments (WLSs), a feature descriptor is designed for each candidate linking
segment based on the gradient orientation information that can effectively distinguish RLSs from WLSs. Experiment
results of the testing images show that the proposed method can greatly improve the original line segment detection
results by connecting most fragmented line segments more accurately.
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