An intelligent method for measuring high refractive index based on optical coherence tomography and image processing. Issue 12 (December 2022)

• Record Type: Journal Article
• Authors: Hongbo, Fu; Yang, Liu; Weijian, Gao; Yintao, Lan; Fangyu, Zhong; Mengmeng, Cheng; Jian, Zhang
• Is Part Of: Heliyon. Volume 8:Issue 12(2022)
• Publication Date: 2022-12
• Subjects: Optical coherence tomography -- Refractive index -- Image processing; Research -- Periodicals; Medical sciences -- Periodicals; Natural history -- Periodicals; Social sciences -- Periodicals; Earth sciences -- Periodicals; Physical sciences -- Periodicals; 507.2
• DOI: 10.1016/j.heliyon.2022.e11871
• Languages: English
• ISSNs: 2405-8440

Abstract

Abstract: This study introduces a new method to measure high refractive index (RI) materials with irregular shapes based on optical coherent tomography (OCT) images. Since the optical path length is the critical parameter to calculate RI, image fusion, thresholding, boundary extraction, and Hough transform were adopted in a well-organized sequence to extract this parameter when analyzing OCT images. Hough transform plays a key role in target recognition and parameter extraction. Glass and diamond were used as samples to test the validity of this method. The measurement result has reasonable consistency with the standard value. The method introduced in this paper has the potential to raise the automation and intelligence level of the existing research. A bright application prospect can be expected in industrial fields, such as optical glass, jewelry, and mineral substance. Abstract : Optical coherence tomography; Refractive index; Image processing.