Retina three-dimensional reconstruction method based on multiple fundus images without camera calibration

Abstract

The invention discloses a retinal three-dimensional reconstruction method based on multiple fundus images without camera calibration. The method comprises the following steps: (1) collecting a fundusimage pair without calibrating a fundus camera, carrying out preprocessing and parallax solution on the fundus image, and establishing a retina surface parallax model; (2) establishing a retina curvedsurface depth model based on an optical eye model; and (3) fusing the retina curved surface depth model and the parallax model, establishing a retina three-dimensional point cloud, and completing three-dimensional reconstruction of the retina surface. When the method is adopted for fundus retina three-dimensional reconstruction, a fundus camera does not need to be calibrated, good robustness is achieved, and the three-dimensional reconstruction effect is good.

Description

Technical field [0001] The invention belongs to the field of image processing technology and fundus 3D reconstruction technology, and specifically relates to a method for 3D reconstruction of the retina based on multiple fundus images without camera calibration. The method does not require calibration of the fundus camera and has strong robustness. Most fundus images taken by fundus cameras are universally applicable. Background technique [0002] The retina of the human eye, also known as the fundus, is a layer of highly complex film that is an important part of the human eye. The position of the retina in the eye is equivalent to the receiver of the imaging system. The fundus is an important part of the sensory organ of the eye, and most of the diseases of the eye come from the fundus. At the same time, there are a large number of various arteriovenous blood vessels in the fundus, which can reflect the state of systemic vascular diseases. Diseases such as high blood pressure...

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Problems solved by technology

[0004] For the 3D reconstruction of fundus images, there have been preliminary studies in the literature. Most of the researches are on the local 3D reconstruction of the optic disc, and there are also studies on the 3D reconstruction of blood vessels, but there are few studies on the 3D reconstruction of the retinal surface area. Moreover, the camera needs to be calibrated, the method is complicated and cannot be widely used

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