3D imaging of pathological samples based on adaptive fringe luminance projection

Ziqiang Wei; Yan Hu; Sudong Ding; Haopeng Yang; Shijie Feng; Chao Zuo

doi:10.1117/12.3021111

30 April 2024 3D imaging of pathological samples based on adaptive fringe luminance projection

Ziqiang Wei, Yan Hu, Sudong Ding, Haopeng Yang, Shijie Feng, Chao Zuo

Proceedings Volume 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition; 131561M (2024) https://doi.org/10.1117/12.3021111
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

The imaging saturation can lead to errors in image processing and result in incomplete or inaccurate three-dimensional (3D) outcomes. To address this problem, we propose an adaptive fringe luminance projection method based on iterative luminance adjustments to the pattern regions corresponding to the highlight targets. After 3-4 times iterations to update the intensity distribution of the patterns, we can ensure that the captured images are without overexposed area; thus, the intensity variations provide valid information for the subsequent 3D reconstruction. The experimental results show the accurate and complete 3D reconstruction for pathological sample surfaces, which reaches the requirements for 3D digitalization of pathological samples.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziqiang Wei, Yan Hu, Sudong Ding, Haopeng Yang, Shijie Feng, and Chao Zuo "3D imaging of pathological samples based on adaptive fringe luminance projection", Proc. SPIE 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 131561M (30 April 2024); https://doi.org/10.1117/12.3021111

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