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Volume 7
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Article

An Image Entropy Recurrence Map-Based Screening Method for Ultrasound B-Scan Image Segments Containing Defects

by
Peiqiang Chen
,
Qunli Lishen
,
Bin Tang
and
Chenlong Yang
*
School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
*
Author to whom correspondence should be addressed.
Acoustics 2025, 7(2), 35; https://doi.org/10.3390/acoustics7020035
Submission received: 24 April 2025 / Revised: 23 May 2025 / Accepted: 9 June 2025 / Published: 11 June 2025
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Abstract

In recent years, defect detection based on ultrasound B-scan images has been widely utilized in industry to detect the quality and presence of defects in products. However, there are still some difficulties in the process of processing B-scan images, such as sampling noise, the large amount of data, and so on. In this paper, we analyze the acoustic characteristics of an ultrasound B-scan image time series, design an image preprocessing method to make the image information gray-scale lossless, and propose a screening method for ultrasound B-scan image segments containing defects based on the theory of image entropy and a recurrence diagram. Comparison experiments between this method and the traditional image entropy screening algorithm show that this method can solve the above difficulties to a certain extent and has its own superiority. The method proposed in this paper provides a new idea for processing ultrasound B-scan image sequences and presents a new choice when the traditional method is limited.
Keywords: ultrasound detection; ultrasound B-scan; deep learning; image processing; image entropy ultrasound detection; ultrasound B-scan; deep learning; image processing; image entropy

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MDPI and ACS Style

Chen, P.; Lishen, Q.; Tang, B.; Yang, C. An Image Entropy Recurrence Map-Based Screening Method for Ultrasound B-Scan Image Segments Containing Defects. Acoustics 2025, 7, 35. https://doi.org/10.3390/acoustics7020035

AMA Style

Chen P, Lishen Q, Tang B, Yang C. An Image Entropy Recurrence Map-Based Screening Method for Ultrasound B-Scan Image Segments Containing Defects. Acoustics. 2025; 7(2):35. https://doi.org/10.3390/acoustics7020035

Chicago/Turabian Style

Chen, Peiqiang, Qunli Lishen, Bin Tang, and Chenlong Yang. 2025. "An Image Entropy Recurrence Map-Based Screening Method for Ultrasound B-Scan Image Segments Containing Defects" Acoustics 7, no. 2: 35. https://doi.org/10.3390/acoustics7020035

APA Style

Chen, P., Lishen, Q., Tang, B., & Yang, C. (2025). An Image Entropy Recurrence Map-Based Screening Method for Ultrasound B-Scan Image Segments Containing Defects. Acoustics, 7(2), 35. https://doi.org/10.3390/acoustics7020035

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