HIGHLIGHTS
SUMMARY
As the imaging depth increases, the absorption or scattering of light by the retinal layer affects the signal-to-noise ratio (SNR) of the image, and the boundary between adjacent layers of the retina is highly diffused. For retinal OCT B-scan images, segmentation algorithms are typically divided into two categories: retinal layer boundary and retinal layer extraction. In 2011, Ghorble designed a global-based segmentation method that uses a Kalman filter to simulate and detect the approximate parallelism of the retinal layer, combines local information with global information and then extracts eight layers . . .
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