Ultrasonic Image Enhancement to Internal Defect Detection during Material Inspection
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201820801005 |
| _version_ | 1830299078245744640 |
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| author | Merazi-Meksen Thouraya Boudraa Malika Boudraa Bachir |
| author_facet | Merazi-Meksen Thouraya Boudraa Malika Boudraa Bachir |
| author_sort | Merazi-Meksen Thouraya |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T08:02:16Z |
| format | Article |
| id | doaj.art-1c7a79c73c7942979dde36fc025a443f |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-19T08:02:16Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-1c7a79c73c7942979dde36fc025a443f2022-12-21T20:29:49ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012080100510.1051/matecconf/201820801005matecconf_icmie2018_01005Ultrasonic Image Enhancement to Internal Defect Detection during Material InspectionMerazi-Meksen ThourayaBoudraa MalikaBoudraa BachirUltrasonic 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.https://doi.org/10.1051/matecconf/201820801005 |
| spellingShingle | Merazi-Meksen Thouraya Boudraa Malika Boudraa Bachir Ultrasonic Image Enhancement to Internal Defect Detection during Material Inspection MATEC Web of Conferences |
| title | Ultrasonic Image Enhancement to Internal Defect Detection during Material Inspection |
| title_full | Ultrasonic Image Enhancement to Internal Defect Detection during Material Inspection |
| title_fullStr | Ultrasonic Image Enhancement to Internal Defect Detection during Material Inspection |
| title_full_unstemmed | Ultrasonic Image Enhancement to Internal Defect Detection during Material Inspection |
| title_short | Ultrasonic Image Enhancement to Internal Defect Detection during Material Inspection |
| title_sort | ultrasonic image enhancement to internal defect detection during material inspection |
| url | https://doi.org/10.1051/matecconf/201820801005 |
| work_keys_str_mv | AT merazimeksenthouraya ultrasonicimageenhancementtointernaldefectdetectionduringmaterialinspection AT boudraamalika ultrasonicimageenhancementtointernaldefectdetectionduringmaterialinspection AT boudraabachir ultrasonicimageenhancementtointernaldefectdetectionduringmaterialinspection |