摘要
光相干层析技术(OCT)是近来发展起来的成像技术,利用光相干层析技术可以得到清晰的视网膜以及黄斑区的层析图。主要论述了在开发视网膜光相干层析图像识别和临床诊断系统中采用的图像预处理方法。利用图像分割、图像增强等处理技术,实现了图像的自动边缘检测与轮廓提取。通过对视网膜光相干层析图像进行预处理,为进一步的图像识别与分析打下了良好的基础。对黄斑囊样水肿、黄斑裂孔以及正常的视网膜光相干层析图像进行了实验,均取得了较好的效果。
Optical coherence tomography （OCT） is a recently developed imaging technology. With OCT technology one could obtain clear tomography pictures of retina and macula lutea. For the purpose of clinical diagnosis and retina image recognition, a preprocessing technique of retina OCT image has been developed and demonstrated. The edge and contour were extracted automatically through image segmentation and enhancement. It opened the door for the further recognition and analysis of OCT image. Experiments were done on cystoid macular edema, macular hole and normal retina OCT image. The effectiveness of the proposed methods is demonstrated by practical experiments.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2007年第3期419-423,共5页
Acta Optica Sinica
基金
哈尔滨工程大学基础研究项目(HEUF04111)资助课题。
关键词
图像处理
轮廓提取
图像分割
图像增强
光相干层析技术
image processing
contour extraction
image segmentation
image enhancement
optical coherence tomography
