Computer Science ›› 2015, Vol. 42 ›› Issue (Z11): 123-125.

Previous Articles     Next Articles

Segmentation of Bright Speckles in SD-OCT Diabetic Retinal Images Based on Self-adaption Threshold and Region Growing

YU Chen-chen, CHEN Qiang, FAN Wen, YUAN Song-tao and LIU Qing-huai   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Hard exudation is one of obvious symptoms in diabetic retinopathy.The bright speckles in SD-OCT(Spectral Domain Optical Coherence Tomography)have close relation with exudation.In order to research the relation between retinopathy and exudation,it is necessary to extract the bright speckles.However,there are few studies about the segmentation of bright speckles.In this paper,we first limited target regions by layer segmentation methods,then determined the seeds sets by self-adaption threshold and finally extracted bright speckles by region growing based on human vision feature.Experiments demonstrate that our method can accurately segment the bright speckles in diabetic retinal images.

Key words: Spectral domain optical coherence tomography,Diabetic retina,Hard exudation,Layer segmentation,Self-adaption threshold,Region growing

[1] Wojtkowski M,Bajraszewski T,Targowski P,et al.Real-time in vivo imaging by high-speed spectral optical coherence tomography[J].Optics Letters,2003,28(19):1745-1747
[2] Xu S Z,Huang S H,Ma Q K,et al.Study on intra-retinal layers imaged with ultra-high resolution optical coherence tomography[J].International Eye Science,2014,(8):1494-1497
[3] 周从容,刘波,葛蓁,等.糖尿病视网膜病变与硬性渗出位置相关因素的探讨[J].中国医师杂志,2003,5(12):1663-1663
[4] Lammer J,Bolz M,Baumann B,et al.Detection and analysis of hard exudates by polarization-sensitive optical coherence tomography in patients with diabetic maculopathy[J].Invest Ophthalmol Vis Sci.2014,55:1564-1571
[5] 潘燕红,潘林.基于SVM的眼底图像硬性渗出检测[J].计算机与现代化,2014(4):33-37
[6] Walter T,Klein JC,Massin P,et al.A contribution of image processing to the diagnosis of diabetic retinopathy:Detection of exu-dates in color fundus images of the human retina[J].IEEE Transactions on Medical Imaging,2002,21(10):1236-1243
[7] Lang A,Carass A,Swingle E K,et al.Automatic segmentation of microcystic macular edema in OCT.[J].Biomedical Optics Express,2014,6(1):155-169
[8] Manduchi R,Computer A,Inc.Bilateral Filtering for Gray and Color Images[C]∥IEEE International Conference on Computer Vision.Narosa Publishing House,1998
[9] 王玉灵.基于双边滤波的图像处理算法研究[D].西安电子科技大学,2010
[10] Chiu S J,Li X T,et al.Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation[J].Optics Express,2010,8(18):19413-19428
[11] 王茜,彭中,刘莉.一种基于自适应阈值的图像分割算法[J].北京理工大学学报,2003,23(4):521-524
[12] 谭洪波,侯志强,刘荣.基于人类视觉模型的区域生长图像分割[J].中国图象图形学报,2010,15(9):1352-1356
[13] 时佳佳.视网膜症状性渗出液相关紊乱的自动化分割与定量分析研究[D].南京:南京理工大学,2014

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!