Infrared computer vision in non-destructive imaging: Sharp delineation of subsurface defect boundaries in enhanced truncated correlation photothermal coherence tomography images using K-means clustering-Reference-Cited by-同舟云学术

Infrared computer vision in non-destructive imaging: Sharp delineation of subsurface defect boundaries in enhanced truncated correlation photothermal coherence tomography images using K-means clustering

Published:2022-01 Issue: Volume:125 Page:102568
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Risheh Ali,Tavakolian Pantea,Melinkov Alexander,Mandelis Andreas

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

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3. Spatial-neighborhood manifold learning for nondestructive testing of defects in polymer composites. Liu Y., Liu K., Yang J., Yao Y. s.l. : IEEE Transac Ind Inf. ;8:4639:4649.

4. Enhanced defect detection in carbon fiber reinforced polymer composites via generative kernel principal component thermography;Liu;Polymers,2021

5. A study of edge detection algorithms. Peli T., Malah D. s.l: Comput Graph Image Process, Vol. 20.

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