Three-dimensional atlas acquisition and reconstruction method based on coding sampling plate design and quadratic energy constraint correction

Abstract

The invention discloses a three-dimensional atlas acquisition and reconstruction method based on coding sampling plate and secondary energy constraint correction. The external light carrying the three-dimensional information is sampled through the designed compression coding plate, and a spectral aliasing image is formed by dispersion and is imaged on a black-and-white image sensor; after being preliminarily restored through a TwIst algorithm, and being subjected to secondary energy constraint correction, a plurality of groups of sampling spectrums are fused to form a final reconstructed three-dimensional atlas. The method has high executable performance, and the energy utilization rate and the atlas recovery accuracy in the algorithm are improved, and the spectrum data quantity in the traditional spectral spectrum detection system is reduced.

Description

technical field [0001] The invention relates to the field of image computing, in particular to a three-dimensional atlas acquisition and reconstruction method based on coded sampling plate design and secondary energy constraint correction. Background technique [0002] With the development of science and technology, people are no longer satisfied with just recording the things that the eyes can observe, but hope to obtain the hidden information contained in things in real life—spectral information. Spectral imaging technology is just such an imaging technology that can display more abundant information about things. Since the spectral imager can provide a lot of additional information on the measured object, this feature has been gradually discovered in recent years and has become an emerging scientific and engineering application tool, which integrates optics, precision mechanics, spectroscopy, signal processing, etc. technology. [0003] Traditional imaging methods, such...

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Problems solved by technology

[0005] At present, there is a lack of a perfect 3D map acquisition and reconstruction method in this field. Traditional map acquisition methods mostly use dispersion and spectroscopy by adding filters or scanning components. The hardware system is complex and the amount of map data acquired is large.

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