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A Composite Algorithm for Real-time Detection of Paper Defects Based on Fast Fourier Transform and Improved Watershed Algorithm
Received:January 05, 2023  
DOI：10.11980/j.issn.0254-508X.2023.07.017
Key Words:paper defect detection  Fourier transform  Gaussian filtering  watershed algorithm
Fund Project:西安市科技计划项目（2020KJRC0146）；国家自然科学基金计划项目（62073206）。
Author NameAffiliationPostcode
TANG Wei* College of Electrical and Control Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 710021
ZHANG Long College of Electrical and Control Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 710021
WANG Jinyun College of Electrical and Control Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 710021
FANG Jianan College of Electrical and Control Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 710021
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Abstract:This paper presented a composite algorithm appropriate for online real-time detection of paper defects in high-speed and wide-width paper machines. The algorithm employed the following basic idea： First， the time-domain image was transformed into the frequency domain using fast Fourier transform （FFT）， enabling the product of frequency domain image and Gaussian high-pass filter to be utilized to filter. Next， the image in the frequency domain was converted back to the time domain via inverse fast Fourier transform （IFFT）. The third step involved utilizing the fast watershed algorithm to quickly segment the filtered image and achieved online real-time detection of paper defects. Over 2000 pictures of paper defects were collected. The results showed that the proposed composite algorithm possessed several advantages， including high speed， high efficiency， strong applicability， and good segmentation effect. Ultimately， it met the demands of real-time capability and accuracy for online paper defect detection.
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