An edge detection algorithm based on beamlet transform and its applications

The beamlet transform is an efficient tool for multiscale analysis. An edge detection algorithm is proposed based on beamlet transform. The evaluation of this algorithm is taken from several aspects, such as the continuity of the edge detection, the antinoise performance and so on. The algorithm is applied to detect edge and identify lane from road images. The experiments show that the continuity of edge detection is good, the new method has low rate of wrong detection and miss detection, which also has good performance on line extraction. But the performance of antinoise is inferior. The edge we gained contains information on the position, the orientation and so on, which will be convenient for the target recognition.