Method for reconstructing two-dimensional structure of paper cellulose fiber based on image processing

Abstract

The invention discloses a method for reconstructing two-dimensional structure of paper cellulose fiber based on image processing, which relates to the technical field of fiber structure shape reconstruction, adopts an SEM image for the following treatments of binarization, morphology improvement, skeleton and edge line extraction, node extraction and replacement of straight line with curve, and finally obtains a paper cellulose fiber two-dimensional structure model, wherein the binarization adopts a more accurate binarization algorithm combining the double threshold with the local threshold; the morphology improvement adopts the repair algorithms such as expansion, erosion, opening and closing calculation; the replacement of straight line with curve adopts an algorithm for recognizing the curve node pairs able to be replaced by straight line through determining whether the nodes are connected or not. With the method of the invention, the problem that an existing in the currently available paper cellulose structure model differs greatly with an actual fiber microstructure or the problem that the model parameters are excessively complex can be resolved. The reconstructed structure model can be applied to the structure finite element simulated calculation of a plurality of cellulose application fields.

Description

technical field [0001] The invention relates to the technical field of fiber structure morphology reconstruction, in particular to a two-dimensional structure reconstruction method of paper cellulose fibers based on image processing. Background technique [0002] Cellulose is the most widely distributed and abundant natural polymer in nature. Every year, plants produce hundreds of billions of tons of cellulose through photosynthesis. Therefore, cellulose is a renewable resource with a huge output. Cellulose also has the advantages of being completely biodegradable, non-toxic, non-polluting, easy to modify, good biocompatibility, and renewable. It is considered to be the main raw material for energy and chemicals in the future world, and can be widely used in papermaking, fiber and Textiles and cellulose derivatives and other fields. [0003] As a relatively "old" cellulose fiber structure, paper has been applied in some research fields in recent years, such as paper-based b...

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Problems solved by technology

[0006] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art and provide a method for reconstructing the two-dimensional structure of paper cellulose fibers based on image processing. Simplify the substitution, realize the image reconstruction of the cellulose structure, thus obtain a two-dimensional model that can characterize the microscopic structure of the paper cellulose fiber, and solve the problem of the existing cellulose structure model establishment method between the morphology characteristic structure and the actual cellulose structure. Due to technical problems such as large structural differences or too complex model parameters, the obtained structural models can be applied to simulations in various cellulose application fields such as cellulose-based lithium battery thermodynamics, electrochemical performance simulation, etc.

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