Dataset for semantic segmentation in NDT with step-heating thermography for CFRP laminates

Dataset composed of 36 images (640x480 pixels) of 30 bands or channels from step-heating for the same Carbon Fiber Reinforced Polymer (CFRP) laminate.

In each image the specimen is rotated 10º to generate new data, with different illumination, background, and heating/cooling sequences.

Images are generated from a video composed of the heating process, which takes 10 seconds, and the cooling process, which takes another 10 seconds, to a total of 1000 frames per video. This video is then reduced to 30 images using different processing methods explained below.

The 30 bands or channels consist of the following bands repeated for the heating and cooling processes:

First PCT component

Second PCT component

Third PCT component

Fourth PCT component

PPT

Kurtosis

Skewness

TSR Coefficient 7

TSR Coefficient 6

TSR Coefficient 5

TSR Coefficient 4

TSR Coefficient 3

TSR Coefficient 2

TSR Coefficient 1

TSR Coefficient 0

Please cite the original paper:

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BibTex:

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