Weld joints inspection using multisource data and image fusion | Zendy

Tomasz Chady | Zendy; R. Sikora | Zendy; Mariusz Szwagiel | Zendy; Michał Szydłowski | Zendy; Paweł Waszczuk | Zendy; B. Grochowalska | Zendy; Bogdan Grzywacz | Zendy; Leszek Misztal | Zendy

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Weld joints inspection using multisource data and image fusion

Author(s) -

Tomasz Chady,

R. Sikora,

Mariusz Szwagiel,

Michał Szydłowski,

Paweł Waszczuk,

B. Grochowalska,

Bogdan Grzywacz,

Leszek Misztal

Publication year - 2017

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.4974718

Subject(s) - artificial intelligence , computer vision , computer science , preprocessor , radiogram , image fusion , welding , feature extraction , visualization , image processing , noise (video) , sensor fusion , image (mathematics) , engineering , electrical engineering , mechanical engineering

The novel concept of comprehensive weld inspection with use of three sources of data (radiogram image, image composed of laser profilometer 3D data, CCD camera image) and weld images fusion is presented in the paper. The algorithms of data processing aimed at detection and visualization of weld flaws are roughly described. The special attention was paid at presentation and explanation of algorithm for aligning and spatial correction of images composed of data delivered by three independent sources. The results yielded by proposed algorithms for preprocessing of weld images, weld detection, feature extraction, shape extraction, shape matching, filtering, distortion correction, etc. are illustrated with several figures included in the paper. The concise description of designed and implemented laboratory stands is included in the paper too.

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