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Towards automatic analysis of ultrasonic time-of-flight diffraction data using genetic-based Inverse Hough Transform

Abstract : Ultrasonic Time Of Flight Diffraction (TOFD) is a non-destructive inspection technique that has proved to be very effective for the detection, localization and sizing of buried crack defects in steel structures. However, it produces huge amount of data that are manually processed and interpreted. This process is time-consuming and painstaking. Moreover, it requires the skill, alertness and experience of the operator. Consequently, it is subject to human errors. In order to save time, effort and inspection cost while at the same time increasing the detection rate, automatic analysis tool need to be developed. This paper presents thus an application of image processing techniques to the B-SCAN image representation of ultrasonic TOFD data so as to take advantage of the power of image representation of information. In a B-SCAN image crack defects are characterized by multiple arcs of diffraction. In order to detect these multiple arcs of diffraction and thus reveal the presence of a crack in the structure under inspection, some methods based on conventional Hough Transform (HT) were proposed in the literature. The main problems related to conventional HT are its large data storage requirements and expensive computation times. To cope with these problems, we propose the use of the Inverse Hough Transform (IHT) where the voting process is performed in the image space rather than the parameter space. With the IHT, the local peak detection problem in the parameter space is converted to a parameter optimization problem that is solved using Genetic Algorithms. The proposed Genetic-Based Inverse Voting Hough Transform ‘GBIVHT’ algorithm allows thus the automatic detection of the arcs of diffraction, and therefore the crack defects, while avoiding the computational complexity as well as the huge storage requirement of conventional HT.
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https://hal.archives-ouvertes.fr/hal-01445274
Contributor : Lew Fock Chong Lew Yan Voon Connect in order to contact the contributor
Submitted on : Tuesday, January 24, 2017 - 4:45:46 PM
Last modification on : Friday, August 5, 2022 - 2:54:00 PM

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Khalil Maalmi, Rachid Benslimane, Lew F.C. Lew Yan Voon, Eric Fauvet. Towards automatic analysis of ultrasonic time-of-flight diffraction data using genetic-based Inverse Hough Transform. Insight - Non-Destructive Testing & Condition Monitoring, 2009, 51 (4), pp.184-191. ⟨10.1784/insi.2009.51.4.184⟩. ⟨hal-01445274⟩

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