Polarization-sensitive OCT-based pearl feature detection

Wenliang Cao; Zhenqian Li; Dongsheng He; Hui Lin; Zaifan Wang; Wangbiao Li; Xiaoman Zhang; Zhifang Li

doi:10.1117/12.2692158

6 November 2023 Polarization-sensitive OCT-based pearl feature detection

Wenliang Cao, Zhenqian Li, Dongsheng He, Hui Lin, Zaifan Wang, Wangbiao Li, Xiaoman Zhang, Zhifang Li

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 129215F (2023) https://doi.org/10.1117/12.2692158
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

In this study, a detection system based on Polarization-Sensitive Optical Coherence Tomography (PS-OCT) using Mueller Matrix Optical Coherence Tomography (MM-OCT) was developed. By employing PS-OCT technology, the system was able to fully detect all sixteen elements of the Mueller matrix. By comparing the intensity element M00 among the sixteen elements of the Mueller matrix, the texture structure of the pearl layers could be observed. This allowed for differentiation between freshwater and saltwater pearls, identification of genuine and fake pearls, detection of internal flaws in pearls, and differentiation between nucleated and non-nucleated pearls. The study also involved the labeling of connected regions in binary images, where pixels within the same connected region were assigned the same label. The labeled images were displayed to facilitate more intuitive qualitative analysis, and quantitative analysis was performed using gray-level co-occurrence matrices. Subsequently, pearl layer pixels were extracted from multiple angles in the images, and the thickness of the pearl layer was calculated using the extracted pixels and axial resolution. Finally, detection and classification of unknown pearls were conducted, yielding results consistent with the actual outcomes. The measured thickness results after sectioning matched the calculated results, providing evidence for the feasibility of the experimental method proposed in this study.

Citation Download Citation

Wenliang Cao, Zhenqian Li, Dongsheng He, Hui Lin, Zaifan Wang, Wangbiao Li, Xiaoman Zhang, and Zhifang Li "Polarization-sensitive OCT-based pearl feature detection", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 129215F (6 November 2023); https://doi.org/10.1117/12.2692158

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Mueller matrices

Cooccurrence matrices

Optical coherence tomography

Binary data

Biological samples

Imaging systems

Polarization

Show All Keywords

Keywords/Phrases

Search In:

Publication Years