چکیده مقاله
Image segmentation is the process of dividing a digital image into sets of pixels Its approaches are two types: automated and interactive In contrast to automated methods, interactive algorithms, such as live wire with a core in graph theory, do not need user assistance and provide completecontrol to the user, hence they are a desirable approach in many medical applications Particularly, optical coherence tomography OCT is a powerful method for imaging the retinal layers Towards attaining a 3D version of live wire algorithm, which is not as simple as the 2D case, this paper makes a step forward We develop existing versions of this algorithms We experiment over OCT data of 13 eye patients and demonstrate how they improve image segmentation of different retinal layers Moreover, we show the good effect of two different algorithms of noise reduction on OCTimages on the performance of modified live wire algorithm
کلیدواژهها
نویسندگان
Hamed Fahimi
Faculty of Mathematical Sciences and Computer, Shahid Chamran University of Ahvaz, Ahvaz ۶۱۳۵۵ ۸۳۱۵۱, Iran
Jalal Chachi
Faculty of Mathematical Sciences and Computer, Shahid Chamran University of Ahvaz, Ahvaz ۶۱۳۵۵ ۸۳۱۵۱, Iran
شیوه ارجاع
Fahimi, Hamed and Chachi, Jalal,1400,3D intra-retinal layer segmentation of OCT data using modified live wire algorithm,Fourth International Conference on Soft Computing
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