Double View Images To Achieve The Key Technology Of 3 D Reconstruction Of Retina

Retinal diagnosis is of great significance in ophthalmology clinical diagnosis. Retina is a slight parenchyma right at the rear surface in the eyeball, distributing kinds of cells in a thickn ess of just hundreds of microns. These cells distribute in layers and are of great significance f or human vision. However, these cells will be influenced by kinds of pathological changes, le ading to kinds of serious blinding diseases such as diabetic retinopathy, glaucoma, macular de generation and retinitis pigmentosa. As a result, fleet and lossless detection of retina has wide application value and potential economic value.According to principles of3-dimensional reconstruction in computer vision, we research the theory and process of vidicon calibration, calibrate a visicon via plane standardization and simulate a reconstruction system of two eyes to prove the3-dimensional reconstruction proce dure combining with edge detection, stereo matching and curve fitting. Besides, we put up an fundus oculi camera to receive plane2-dimensional images and a spectrum OCT system to ob tain depth information based on upper content. Thus, we could realize the reconstruction of re tina3-dimensional structural via upper2-dimensional image and corresponding depth informa tion drawn from the retina tomography information offered by spectrum OCT system.According to experimental results, we get a relatively high accuracy ranging among one pixel. Reconstruction system of two eyes achieves fine simulation effect and can reconstruct c orrect outline of object with the curve recovered from interpolation. Finally, according to the r etina depth information drawn from spectrum OCT system and retina plane image, we can rec onstruct fine retina3-dimensional structure, giving a solid foundation for reconstruction of tw o-field images.