Adaptive edge detection of noisy images based on the fusion of grayscale and phase consistency

Xiang Teng; Jiajia Zhang; Huan Li; Yanyan Liu; Junxi Mei; Qingyou Yang; Zhiyu Liu; Jun Tang; Huixin Zhou

doi:10.1117/12.2605520

24 November 2021 Adaptive edge detection of noisy images based on the fusion of grayscale and phase consistency

Xiang Teng, Jiajia Zhang, Huan Li, Yanyan Liu, Junxi Mei, Qingyou Yang, Zhiyu Liu, Jun Tang, Huixin Zhou

Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 120651F (2021) https://doi.org/10.1117/12.2605520
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

In order to improve the performance of low-quality noise grayscale image edge detection, using the principle that phase consistency is invariant to changes in grayscale and contrast, a noise image edge detection based on the fusion of multi-angle morphology filtering and phase consistency is proposed. The algorithm improves the defects of the previous edge detection algorithms that only rely on a single gray gradient difference or only use fixed direction weights and experimental results show that our algorithm is more accurate in noise suppression and edge detection of low-quality noise images than traditional algorithms.

Citation Download Citation

Xiang Teng, Jiajia Zhang, Huan Li, Yanyan Liu, Junxi Mei, Qingyou Yang, Zhiyu Liu, Jun Tang, and Huixin Zhou "Adaptive edge detection of noisy images based on the fusion of grayscale and phase consistency", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 120651F (24 November 2021); https://doi.org/10.1117/12.2605520

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