Acta Optica Sinica, Volume. 38, Issue 8, 0815016(2018)
Line Detection Optimization Algorithm Based on Improved Probabilistic Hough Transform
Fig. 1. Leaves produce a mesh edge that affects the line results. (a) Original image; (b) Canny edge; (c) line detected result
Fig. 2. Steps of line detection in sorted edge points
Fig. 3. Steps of line detection in unsorted edge points
Fig. 4. Algorithm operation flow chart
Fig. 5. Efficiency comparison of two kinds of algorithms. (a) Time consumption comparison of each group of experiments; (b) time ratio of each group of experiments
Fig. 6. Straight line detection on a sorted edge image. (a) Analog image; (b) PPHT results; (c) our algorithm results
Fig. 7. Resistance of two algorithms to the boundary polymerization. (a) Original image; (b) Canny edge; (c) PPHT results; (d) our algorithm results
Fig. 8. Comparison of a building image detection results. (a) Original image; (b) Canny edge; (c) PPHT results; (d) our algorithm results
Fig. 9. Comparison of algorithm effect on a large picture. (a) Canny edge; (b) PPHT results; (c) our algorithm results
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Yan Diao, Chenke Wu, Hua Luo, Bijiao Wu. Line Detection Optimization Algorithm Based on Improved Probabilistic Hough Transform[J]. Acta Optica Sinica, 2018, 38(8): 0815016
Category: Machine Vision
Received: Mar. 20, 2018
Accepted: May. 8, 2018
Published Online: Sep. 6, 2018
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