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

Author:

Risheh Ali,Tavakolian Pantea,Melinkov Alexander,Mandelis Andreas

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference14 articles.

1. Truncated-correlation photothermal coherence tomography of artificially demineralized animal bones: two- and three-dimensional markers for mineral loss monitoring;Kaiplavil;Biomed Opt.,2014

2. Enhanced truncated-correlation photothermal coherence tomography with application to deep subsurface defect imaging and 3-dimensional reconstructions;Tavakolian;J Appl Phys,2017

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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