Name
Title | ||
|---|---|---|
Automated Thickness Measurement of Nacreous Layer of Seawater Pearls Based on Optical Coherence Tomography |
Abstract | ||
|---|---|---|
The nondestructive optical coherence tomography measurement can show the shell-nucleus features, quantify the nacre thickness and thus has the potential to identify or grade the pearls [1]. However, the automated thickness measurement of nacreous layer based on OCT has not been reported. In this article, an automated approach is first time proposed to measure the thickness of nacreous layer using OCT raw data. This approach made use of the signal characteristic of OCT scan line, integrated with support vector machine (SVM), hidden markov model (HMM) and circle fitting technologies to measure the thickness of the nacreous layer of seawater pearls. The experimental results show this approach is accurate and adaptable. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/HIS.2009.72 | HIS (1) |
Keywords | Field | DocType |
optical tomography,nondestructive optical coherence tomography measurement,nondestructive optical coherence tomography,optical coherence tomography,oct scan line,seawater pearl,oct raw data,automated approach,biological techniques,biology computing,support vector machine,hidden markov model,automated thickness measurement,nacreous layer,shell-nucleus features,nacre thickness,markov processes,seawater pearls,support vector machines,circle fitting technology,hidden markov models,accuracy,data mining,probability | Circle fitting,Computer vision,Optical coherence tomography,Markov process,Computer science,Support vector machine,Optics,Seawater,Artificial intelligence,Optical tomography,Hidden Markov model,Scan line | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3745-0 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengkun Xue | 1 | 1 | 1.37 |
| Yankui Sun | 2 | 33 | 12.88 |
| daoshun wang | 3 | 362 | 27.74 |
| Peng Li | 4 | 2 | 0.77 |