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Method of increasing the resolution of shale AFM grayscale image based on matlab

A resolution, grayscale image technology, applied in graphic image conversion, image data processing, still image data indexing, etc., can solve the problems of inability to process shale surface topography information, low resolution of grayscale images, etc., to save Experiment cost and the effect of improving fault tolerance

Inactive Publication Date: 2021-06-22
CHINA UNIV OF MINING & TECH
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Problems solved by technology

[0003] In order to solve the problem that the resolution of the grayscale image obtained by the existing shale AFM scan is too low to be processed to obtain the required shale surface topography information, the present invention provides an enlarged grayscale image of the shale AFM file based on MATLAB resolution method

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  • Method of increasing the resolution of shale AFM grayscale image based on matlab
  • Method of increasing the resolution of shale AFM grayscale image based on matlab
  • Method of increasing the resolution of shale AFM grayscale image based on matlab

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Embodiment Construction

[0032] The technical solution of the present invention will be described in detail below in conjunction with the embodiments and the accompanying drawings.

[0033] Such as figure 1 As shown, the present invention provides a method for increasing the resolution of the shale AFM grayscale image based on MATLAB, including:

[0034] S1 preprocessing

[0035] S11: Use NanoScope Analysis to open the AFM file, and perform flatten processing on the image of the corresponding order. This processing is to eliminate the error generated by the experiment and obtain real sample information; perform noise reduction processing on the image to remove the noise in the image to avoid Noise interferes with subsequent processing; the image is cropped to obtain the part of the image and data that meets the requirements.

[0036] S12: Use Gwyddion to open the file processed by NanoScope Analysis, save the file as a file, select the format as XYZ test data, and then add the suffix ".txt" to the s...

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Abstract

Based on the method of increasing the resolution of shale AFM grayscale image based on MATLAB, the original shale AFM file is processed by smoothing and noise reduction, and the three-dimensional coordinate data in the AFM file is extracted and imported into MATLAB, and the variable format is changed, according to the original plane grid The data establishes a more dense planar grid data, and uses the three-dimensional interpolation function to calculate the z-coordinate data, and obtains a high-precision three-dimensional data matrix; then normalizes the calculation results, converts the data type, and generates a grayscale image. The grayscale image with higher resolution can be obtained, which can meet the needs of high-precision research, obtain shale pore size distribution data, expand the application range of AFM, improve the experimental error tolerance rate, save experimental cost, and provide quantitative characterization of shale pore characteristics A new experimental testing method is provided.

Description

technical field [0001] The invention relates to the technical field of rock surface topography detection, in particular to a method for increasing the resolution of a shale AFM grayscale image based on MATLAB. Background technique [0002] Atomic force microscopy (AFM) can detect the physical properties of various samples at the nanometer level, including surface topography. It is more and more widely used in the field of geology. Degree and other meaningful data. The pore size of shale is mainly distributed in the range of less than 50nm. Micropores and mesopores less than 50nm provide most of the specific surface area and pore volume, and are the main places for gas adsorption and storage. Therefore, it is very important to study the distribution of pores in the pore size range below 50nm. However, when AFM is used to detect shale surface topography and relevant processing software is used to measure pore-related parameters, the resolution of grayscale images will be too ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/20G06T3/40G06F16/51
CPCG06T3/4053G06T17/20G06F16/51
Inventor 陈尚斌龚卓李学元王慧军王阳
Owner CHINA UNIV OF MINING & TECH
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