Object size detection based on image processing

Mingrui Zhao; Chunjing Shi

doi:10.1117/12.2684624

1 August 2023 Object size detection based on image processing

Mingrui Zhao, Chunjing Shi

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 1275404 (2023) https://doi.org/10.1117/12.2684624
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

This paper proposes a novel method for detecting object sizes in images. Traditional methods have limitations due to image quality, which affects detection accuracy. To address this problem, a new approach is proposed that combines Zernike moments and deep learning models. This approach combines the strengths of both methods and overcomes the limitations of traditional approaches. The proposed approach improves the accuracy of object size detection and is robust to image noise and distortion. Experimental results demonstrate the effectiveness of this approach, which outperforms existing methods in terms of accuracy and robustness.

Citation Download Citation

Mingrui Zhao and Chunjing Shi "Object size detection based on image processing", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 1275404 (1 August 2023); https://doi.org/10.1117/12.2684624

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