five

Optical coherence tomography image dataset of genuine and faux leather

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Mendeley Data2024-03-27 更新2024-06-26 收录
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We have recorded Optical Coherence Tomography (OCT) images of both genuine and faux leather samples. The genuine leather samples comprised leather from small and large ruminants. The data is organized into three folders: FauxLeatherSamples, LargeRuminantSamples, and SmallRuminantSamples, each containing 5 distinct samples. Therefore, a total of 15 different samples (5 small ruminants, 5 large ruminants, and 5 artificial/faux leathers) were scanned at different points on their surfaces. Under the FauxLeatherSamples folder, OCT images corresponding to the 5 separate artificial leather samples are stored. To ensure approximate consistency in the data from the samples, the OCT scans were fixed to 2 mm from each image and saved in the same PNG format. We are making this labeled OCT leather type dataset publicly available. The dataset consists of raw OCT images stored in 15 separate folders, all in the same format. Each folder contains only OCT scans taken randomly over a single genuine or faux leather sample. The OCT scans corresponding to the genuine leather samples are found under the folders named LargeRuminantSamples and SmallRuminantSamples. Furthermore, under these folders, subfolders labeled 1 to 5 contain OCT scans of five different leathers, all of which are genuine. The scans are raw OCT-B image files, captured using ThorImage software on the Thorlabs OCT imaging system. No additional image processing or filtering has been performed on the raw OCT images. Each OCT scan is a separate image with the date and time of the scan stamped within the file name. For instance, under the folder LargeRuminantSamples, within Folder 1, there are OCT scans of the genuine leather sample 1, originating from a large ruminant leather piece. The file named "OCT Image 060315_12242021.png" in this folder corresponds to the OCT scan of the first leather sample taken on December 24, 2021, at 06:03:15.
创建时间:
2024-01-23
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