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Abstract
Optical coherence tomography (OCT) provides volumetric microstructures of various biological objects, but its objective lens limits its field of view (FOV). We code a Python program using phase-only correlation and alpha blend algorithm on our samples’ overlapping areas to perform OCT 3D image stitching from multiple FOVs. This technique results in a panoramic image and required minimum user interaction. Finally, we process two datasets, AggreWells and colon samples, to successfully test the performance.
Document Type
Article
Class Name
Electrical and Systems Engineering Undergraduate Research
Date of Submission
4-28-2023
Recommended Citation
Ouyang, Xiangping, "3D Image Stitching in OCT" (2023). Electrical and Systems Engineering Undergraduate and Graduate Research. 8.
https://openscholarship.wustl.edu/eseundergraduate_research/8