Automated Cone Cell Identification on Adaptive Optics Scanning Laser Ophthalmoscope Images Based on TV-L1 Optical Flow Registration and <i>K</i>-Means Clustering

Automated Cone Cell Identification on Adaptive Optics Scanning Laser Ophthalmoscope Images Based on TV-L1 Optical Flow Registration and <i>K</i>-Means Clustering

Cone cell identification is essential for diagnosing and studying eye diseases. In this paper, we propose an automated cone cell identification method that involves TV-L1 optical flow estimation and <i>K</i>-means clustering. The proposed algorithm consists of the following steps: image...

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Bibliographic Details
Main Authors: Yiwei Chen, Yi He, Jing Wang, Wanyue Li, Lina Xing, Xin Zhang, Guohua Shi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
adaptive optics scanning laser ophthalmoscope
image registration
image segmentation
retinal imaging
Online Access:https://www.mdpi.com/2076-3417/11/5/2259

Internet

https://www.mdpi.com/2076-3417/11/5/2259

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