Abstract
In order to overcome the shortcomings of the traditional Canny algorithm, which is easy to lose the edge details of the edge detection, and is prone to a large number of false edges and the threshold needs to be manually determined, an adaptive Canny algorithm based on Dual-domain filtering is proposed. Firstly, the Dual-domain filter is used to instead of the traditional algorithm, which is used to remove the image noise while preserving the image edge information, and more effective than the traditional Canny algorithm; Secondly, the Otsu algorithm is used to calculate the high and low threshold of Canny operator in order to achieve the purpose of high automation. The experimental results show that the improved algorithm can detect more effective edges of the image, but also has a strong adaptability.
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Acknowledgements
We thanks for the support of National Natural Science Foundation of China (61272545, 61402149) and Scientific and technological project of Henan Province (142102210390, 14A520026). We also thank anonymous reviewers for their helpful reports.
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Shen, X., Duan, X., Han, D., Yuan, W. (2017). Research on Adaptive Canny Algorithm Based on Dual-Domain Filtering. In: Chen, G., Shen, H., Chen, M. (eds) Parallel Architecture, Algorithm and Programming. PAAP 2017. Communications in Computer and Information Science, vol 729. Springer, Singapore. https://doi.org/10.1007/978-981-10-6442-5_16
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DOI: https://doi.org/10.1007/978-981-10-6442-5_16
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