MATEC Web Conf.
Volume 208, 20182018 3rd International Conference on Measurement Instrumentation and Electronics (ICMIE 2018)
|Number of page(s)||4|
|Section||Signal Analysis and Processing|
|Published online||26 September 2018|
Ultrasonic Image Enhancement to Internal Defect Detection during Material Inspection
USTHB, Electronics & Computer Science Dpt, Algiers, Algeria
Ultrasonic waves are efficiently exploited to detect internal defects such as cracks and occlusions in non-destructive testing (NDT) of materials. In some automated procedures, emitter and receiver probes are displaced step by step and signals are displayed to form images that make diagnosis easier to interpret. However, too much images are unnecessarily stored when they correspond to safe zones (without presented defects). In this paper, we propose a method that enhances ultrasonic images quality in order to improve the discrimination between images containing or not a shape regarding a detected defect. The method is based on the adapted histogram equalization technique followed by morphological operations that erase all useless shapes on processed images.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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