week1
week1
01.03.2023
Goals: background checks, task checks, organisational arrangements
1. Background
Optical coherence tomography (OCT) is a non-invasive and cross-sectional imaging technique that permits, for example, three-dimensional images with micrometer resolution to be obtained from within the retina. Since its invention in 1990, OCT has been adopted as an established quantitative imaging tool for the diagnosis and management of ocular diseases. To date, however, applications of OCT beyond biomedicine have been scarce as most commercially available OCT systems are specifically developed and optimized for medical applications. Recently, we and other groups have demonstrated that OCT can be used for industry applications including non-destructive evaluation of car paints and electronics circuits.
2. Task
A typical OCT measurement will yield a 3D data cube with a size of 500x500x1024. In project, you will be provided a set of 3D images (600x550x1600) of spherical and/or aspherical lenses. your group will develop image processing algorithms to extract the surface position of the lenses from the 3D image data cube. The extracted lens surface position will be used to calculate the surface curvature of the lens which will then be compared to the actual surface curvature.
3. organizational arrangement
Masking: Gaopeng Chen
Coordinates extraction (first version): Gaopeng Chen, Yuchao Feng
Coordinates extraction (More accurate vesion): Gaopeng Chen
Sphere fitting: Gaopeng Chen
Local curvature: Jun Die
Quantifying the error: Jiajie Fan, Yuchao Feng
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