phase-to-height images

Citation Author(s):
Shuhuan
Han
Xinjie
Li
Xubo
Zhao
Yanxi
Yang
Xinyu
Zhang
Submitted by:
Shuhuan Han
Last updated:
Sat, 02/10/2024 - 11:13
DOI:
10.21227/8cg6-pt57
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Abstract 

This dataset includes various gauge blocks of different heights at different positions. This includes two sets of data with no targets and different measurement heights. Each data consists of 16 phase-shifting images and their corresponding Gray code images. The processing flow is as follows: first, obtain the unwrapped phases of each group data sequentially through the above images, and then using GRNN neural network to obtain phase offsets at different positions, and substituting them into all unwrapped phases, finally performing phase-to-height mapping on the unwrapped phases that eliminate phase offsets.All data is classified and stored in folders, good luck!

Instructions: 

This dataset includes various gauge blocks of different heights at different positions. This includes two sets of data with no targets and different measurement heights. Each data consists of 16 phase-shifting images and their corresponding Gray code images. The processing flow is as follows: first, obtain the unwrapped phases of each group data sequentially through the above images, and then using GRNN neural network to obtain phase offsets at different positions, and substituting them into all unwrapped phases, finally performing phase-to-height mapping on the unwrapped phases that eliminate phase offsets. All data is classified and stored in folders, good luck!