Three-dimensional CT core image super-resolution reconstruction method

A super-resolution reconstruction and three-dimensional image technology, applied in the field of CT super-resolution image reconstruction, can solve the problem of image resolution core sample size contradiction, achieve clear and obvious pore structure features, improve resolution, and facilitate later characteristics The effect of analysis

Active Publication Date: 2015-10-28
SICHUAN UNIV
View PDF0 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the shortage of CT three-dimensional image reconstruction technology of rock core samples in the prior art, the purpose of the present invention is to provide a new method for super-resolution reconstruction of three-dimensional CT rock core images, so as

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Three-dimensional CT core image super-resolution reconstruction method
  • Three-dimensional CT core image super-resolution reconstruction method
  • Three-dimensional CT core image super-resolution reconstruction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0076] In order to make the method of the present invention easier to understand and close to real application, the whole process is described in detail below, including the core method of the present invention:

[0077] (1) The scanned image is down-sampled by cubic interpolation, and Gaussian blur is performed on the down-sampled result to obtain a degraded three-dimensional image;

[0078] (2) Decompose the degraded 3D image according to the size of 2x2x2 pixels

[0079] (3) Use the first-order and second-order gradient filters, joint Laplacian templates and three-dimensional Laplacian Gaussian filters to extract the features of the decomposed small blocks to obtain their edge feature information and high-frequency component information, Get feature block 2;

[0080] (4) During the dictionary training process, according to the principle of sparse representation, apply the Orthogonal Matching Pursuit (OMP) algorithm to sparsely decompose the training object, and use the fea...

Embodiment 2

[0101] (1) Use small-scale rock samples for high-resolution CT scanning to obtain high-resolution 3D core images of small rock samples I h Then this high-resolution three-dimensional rock core image is down-sampled and fuzzy, using the same method as setting up a high-resolution and low-resolution dictionary in Example 1, that is, Example 1 steps (1)-(7), establishing The corresponding high-resolution dictionary D h and a low-resolution dictionary D l . The high resolution dictionary D h and a low-resolution dictionary D l It can be used as prior knowledge for super-resolution reconstruction of low-resolution 3D images of the same type of core.

[0102] (2) The low-resolution three-dimensional core image of the same type of rock core is used as the image to be reconstructed, and it is subjected to the same feature extraction as step (3) in embodiment 1; The reconstruction method, that is, steps (8)-(11) in Embodiment 1, finally realizes the super-resolution reconstruction o...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention discloses a three-dimensional core image super-resolution reconstruction method. The method comprises the steps of: performing degradation on a three-dimensional CT core image, and performing decomposition and feature extraction on the degraded three-dimensional image to obtain a feature block 2; performing dictionary training on an extraction feature application algorithm to obtain a low-resolution dictionary Dl and a sparse coefficient alpha; performing decomposition and feature extraction on the input three-dimensional image to obtain a feature block 1; according to the feature block 1 and the sparse coefficient alpha, obtaining a high-resolution dictionary Dh of the input three-dimensional CT core image; according to the feature block 1 and the low resolution dictionary Dl, obtaining a new sparse coefficient beta; according to the high-resolution dictionary Dh and the new sparse coefficient beta, obtaining a three-dimensional high-resolution image block; performing up-sampling on the three-dimensional CT core image by using an interpolation algorithm and obtaining an enlarged three-dimensional image; and filling the enlarged three-dimensional image with the three-dimensional high-resolution image blocks to obtain an enlarged three-dimensional core sample model. According to the three-dimensional core image super-resolution reconstruction method, the problem of a contradiction between the resolution of the three-dimensional CT image and the sample dimension is solved.

Description

technical field [0001] The invention relates to the technical field of CT super-resolution image reconstruction, in particular to a method for super-resolution reconstruction of three-dimensional CT rock core images. Background technique [0002] In petroleum geology, rocks that have the ability to store and infiltrate fluids are called reservoir rocks. The porosity of the reservoir rock directly determines the amount of oil and gas stored in the rock formation, and the quality of the permeability controls the production capacity of the oil and gas contained in the reservoir rock formation. Therefore, it is of great significance to study the seepage characteristics of rocks at the pore level for oil and gas exploitation. The establishment of digital cores is the basis and key to carry out the above research work. In the research work of petroleum geological analysis, CT scanning imaging technology (Computed Tomography, computer X-ray tomography technology) has been more an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T17/00G06T3/40A61B6/03
Inventor 滕奇志李征骥岳桂华何小海卿粼波吴晓红
Owner SICHUAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap