Automated thickness measurements of pearl from optical coherence tomography images

摘要：

In this paper, we explored the automatic thickness measurements of pearl from optical coherence tomography (OCT) images. We used a two stage scheme to extract the upper and lower boundaries of nacre respectively, and computed the thickness of nacre based on the extracted upper and lower boundaries. At the first stage, we employed edge detection method to extract the upper boundary. At the following stage, we used pixel classification method to detect the lower boundary. In both stages, boundary refinement and fitting were conducted. The proposed approach is evaluated using pearl optical coherence tomography images, and achieved high segmentation accuracy of 93.56％ and relative measurement error of 1.69％. Experimental results demonstrate the effectiveness and robustness of our method.

关键词： optical coherence tomography pearl nonlinear complex diffusion boundary fitting Support vector machine

作者: Ming Lei Yankui Sun Daoshun Wang Peng Li

作者单位: Department of Computer Science and Technology Tsinghua University,Beijing, China Shenzhen Mortim Imaging Technique Co., ltd Shenzhen, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）