19 July 2013 Edge detection of mineral water bottle image based on NSCT and Canny algorithm
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Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782I (2013) https://doi.org/10.1117/12.2030549
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China
Abstract
Some edge detection algorithms based on spatial and wavelet technology can detect image edge of limited direction effectively. Since these algorithms haven't fully utilized field information, there would be great error around the complex edge area in the detection results. To solve such kind of problem, a novel edge detection algorithm by combining nonsub- sampled contourlet transform (NSCT) and Canny algorithm is proposed in this paper. Simulation results are displayed to prove that this algorithm can extract more image edge details than Canny algorithm and it also has good continuity and robustness.
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Changhua Lu, Jinghan Liu, Bo Zhang, "Edge detection of mineral water bottle image based on NSCT and Canny algorithm", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782I (19 July 2013); doi: 10.1117/12.2030549; https://doi.org/10.1117/12.2030549
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