Edge detection of mineral water bottle image based on NSCT and Canny algorithm

Changhua Lu; Jinghan Liu; Bo Zhang

doi:10.1117/12.2030549

19 July 2013 Edge detection of mineral water bottle image based on NSCT and Canny algorithm

Changhua Lu, Jinghan Liu, Bo Zhang

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.

Citation Download Citation

Changhua Lu, Jinghan Liu, and 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); https://doi.org/10.1117/12.2030549

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