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- Title
The defect feature extraction of ultrasonic phased array detection based on adaptive region growth.
- Authors
Wang, Zhe; Li, Shuai; Zhang, Chao; Li, Xiahui; Long, Haonan; Zhu, Xianming
- Abstract
An ultrasonic phased array defect extraction method based on adaptive region growth is proposed, aiming at problems such as difficulty in defect identification and extraction caused by noise interference and complex structure of the detected object during ultrasonic phased array detection. First, bilateral filtering and grayscale processing techniques are employed for the purpose of noise reduction and initial data processing. Following this, the maximum sound pressure within the designated focusing region serves as the seed point. An adaptive region iteration method is subsequently employed to execute automatic threshold capture and region growth. In addition, mathematical morphology is applied to extract the processed defect features. In the final stage, two sets of B-scan images depicting hole defects of varying sizes are utilized for experimental validation of the proposed algorithm's effectiveness and applicability. The defect features extracted through this algorithm are then compared and analyzed alongside the histogram threshold method, Otsu method, K-means clustering algorithm, and a modified iterative method. The results reveal that the margin of error between the measured results and the actual defect sizes is less than 13%, representing a significant enhancement in the precision of defect feature extraction. Consequently, this method establishes a dependable foundation of data for subsequent tasks, such as defect localization and quantitative and qualitative analysis.
- Subjects
ULTRASONIC arrays; PHASED array antennas; SOUND pressure; NOISE control; MATHEMATICAL morphology; FEATURE extraction; ELECTRONIC data processing; FILTERS &; filtration
- Publication
PLoS ONE, 2024, Vol 19, Issue 1, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0297206