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Diffusion light tomography intelligent modeling method based on big data

A technology of tomography and modeling methods, applied in image data processing, 2D image generation, image enhancement and other directions, can solve problems such as poor feature distribution ability and poor imaging quality, and achieve strong feature resolution and improved quality. , good effect of intelligence

Pending Publication Date: 2020-12-04
NANTONG UNIVERSITY
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Problems solved by technology

[0004] The present invention aims at the deficiencies in the prior art. The purpose of the present invention is to propose a large-data-based diffuse optical tomography that solves the problem of poor feature distribution and poor imaging quality in traditional diffuse optical tomography. Imaging Intelligent Modeling Method

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  • Diffusion light tomography intelligent modeling method based on big data
  • Diffusion light tomography intelligent modeling method based on big data
  • Diffusion light tomography intelligent modeling method based on big data

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[0063] The present invention will be described in detail below in conjunction with the accompanying drawings for further explanation, so that those skilled in the art can understand the present invention more deeply and can implement it, but the following examples are only used to explain the present invention, not as the present invention limit.

[0064] Such as figure 1 As shown, an intelligent modeling method of diffuse optical tomography based on big data includes the following steps: S1: Sampling the big data information of diffuse optical tomography by using the superpixel set feature extraction method, and constructing diffuse optical tomography Imaging superpixel large data set information fusion model; S2: The diffuse optical tomography superpixel large data set information fusion model combines the spatial region filtering method to perform diffuse optical tomography filtering, and extract the edge contour of diffuse optical tomography Features, combined with the im...

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Abstract

The invention relates to the technical field of diffusion light tomography, in particular to a diffusion light tomography intelligent modeling method based on big data. The method comprises the following steps: S1, carrying out big data information sampling of diffusion light tomography by adopting a super-pixel set feature extraction method, and constructing a diffusion light tomography super-pixel big data set information fusion model; S2, combining the diffusion light tomography superpixel big data set information fusion model with a spatial region filtering method to carry out diffusion light tomography filtering processing, extracting edge contour features of diffusion light tomography, and performing feature matching and block recombination of diffusion light tomography in combination with an image block matching method; S3, analyzing the correlation characteristic quantity of the diffusion light tomography pixel big data set, and carrying out the scale decomposition of diffusionlight tomography through adoption of an autocorrelation characteristic decomposition method; and S4, realizing three-dimensional reconstruction of the diffusion light tomography by combining a big data analysis method, and realizing intelligent modeling of the diffusion light tomography.

Description

technical field [0001] The invention relates to the technical field of diffuse optical tomography, in particular to an intelligent modeling method for diffuse optical tomography based on big data. Background technique [0002] With the development of light detection and light imaging technology, diffuse optical tomography technology is used for light detection research, and the surface texture characteristics of imaging objects are analyzed according to the results of diffuse optical tomography, so as to improve the detection and recognition capabilities of targets, but in the process of diffusion In the process of optical tomography, due to the influence of factors such as optical characteristic diffraction and environmental interference, the quality of diffuse optical tomography is not good, and the signal-to-noise ratio of the output image is not high. It is necessary to establish an optimization model of diffuse optical tomography, combined with Image optimization proces...

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Application Information

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IPC IPC(8): G06T11/00G06T7/13G06T7/136G06K9/62
CPCG06T11/003G06T7/13G06T7/136G06T2207/10101G06T2207/20021G06T2207/20024G06F18/22G06F18/253
Inventor 孔苏鹏林浩何明标程实陈善利姚滢
Owner NANTONG UNIVERSITY
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