Core three-dimension image repairing method

Abstract

The invention discloses a core three-dimension mage repairing method including the steps of (1), extracting initial boundary of a to-be-repaired area of an original three-dimension image, namely a core three-dimension image with information loss, and setting the template size; (2), dividing the known area of the original three-dimension image; (3), calculating priority values of boundary templates of all voxels at the boundary of the original three-dimension image; (4), searching the boundary template of the maximum priority value and reserving coordinates of corresponding boundary voxels; (5), judging the area type of the boundary voxels and setting the global search area of a matching block of the boundary template; (6), searching the optimal matching block within a corresponding range and performing gray filling to corresponding voxels; (7), updating or setting different parameter information; (8), repeating the step (4) to the step (7) until filling the to-be-repaired area completely. The restoring degree of the core three-dimension image repaired by the method is high, and structure and details of the real three-dimension image can be remained.

Description

technical field [0001] The invention relates to an image restoration method, in particular to a rock core three-dimensional image restoration method, and belongs to the technical field of three-dimensional image restoration. Background technique [0002] In the process of petroleum geological analysis, it is usually necessary to obtain a three-dimensional core structure to quantitatively study the microscopic mechanism of seepage, and analyze the seepage properties and migration laws of the reservoir. With the improvement of CT (computed tomography, computer X-ray tomography) resolution, CT machines have been widely used in three-dimensional imaging of rocks, but the resolution of CT is contradictory to the sample size. In order to obtain accurate analysis results, it is necessary to obtain high-resolution pore structure images, but the size of the scanned sample is greatly limited, which makes the representativeness of rock samples somewhat lacking. Therefore, it is diffic...

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Problems solved by technology

Satoru Morita (Three Dimensional Image Inpainting[C].In proceeding of:Advances in Natural Computation,Second International Conference,Xi'an,China,2006,4222:752-761) extended the method based on partial differential equation PDE to three-dimensional inpainting Algorithm, and apply this algorithm to the restoration of medical images and videos, but this method is only for 3D image restoration with missing information in a small range, and it is mainly for the restoration of the structure, but there is blurring for the texture part

Since the intra-frame correlation in video is often greater than the inter-frame correlation, the intra-frame information is more important, so the restoration of video is mainly carried out frame by frame, and the relationship between frames is less considered.

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