Separation and combination method for aromatic hydrocarbon lattice fringe crossing in HRTEM image

Abstract

The invention discloses a separation and combination method for aromatic hydrocarbon lattice fringe crossing in an HRTEM image, and the method includes employing semantic segmentation, genetic algorithm and similarity methods to find out main fringe parts for analysis and processing, thereby reducing the influence of binaryzation on image distortion; removing burrs of the stripes extracted each time, performing similarity judgment on each cross stripe by taking a non-cross stripe as a reference, and determining whether the segmented stripes are in a combined state or a continuous segmentation state according to the difference degree of the similarity; and judging the directions and sizes of all the stripes, and generating corresponding pictures for research. According to the invention, the complexity of manual stripe trimming can be avoided, trimming difficulty caused by subjective factors and experience factors during manual trimming can be reduced, lattice stripes can be conveniently and quickly extracted, noise parts are overcome, accuracy is improved, finally the distribution condition, length, angle and length-diameter ratio information of the stripes is obtained, and lattice fringe information carried in the HRTEM is more accurate and beneficial.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for separating and merging the intersection of aromatic hydrocarbon lattice fringes in HRTEM images. Background technique [0002] In recent years, in order to study the molecular arrangement of coal aromatic hydrocarbons, researchers mainly observe directly through high-resolution transmission electron microscopy, which brings great convenience to the study of molecular arrangement of aromatic hydrocarbons, but how to accurately and effectively observe the molecular arrangement, Especially the intersecting lattice fringes are a very important and thorny problem. [0003] At present, there are two main processing methods. The first is that researchers will use some software to threshold the image of the sample image observed under the high-resolution transmission electron microscope, and perform binary processing on the image, and then use related drawing softw...

AI Technical Summary

Problems solved by technology

The first is that researchers will use some software to threshold the image of the sample image observed under the high-resolution transmission electron microscope, and perform binary processing on the image, and then use related drawing software to draw manually according to people's subjective consciousness. The other is that researchers use programs to automatically extract stripes. For example, Kang Qiannan and Zhang Zhiqiang developed the VirtualFringe program. They import the pictures into the program, and then perform operations such as noise reduction and Fourier transform on the images. The lattice fringes were extracted, and the branches of the extracted lattice fringes were manually pruned to solve the intersection of lattice fringes; Wang Shaoqing et al. used MASK-R-CNN to mark the fringes, and then trained the neural network, and then The neural network is used to accurately extract the stripes. Although this extraction method speeds up the processing speed, the label part of the lattice stripes is still divided manually. For the crossed lattice stripes, it is still drawn manually

[0004] Among the two existing processing methods, for the first one, an image contains a huge number of stripes. Manually drawing the stripes does not say how accurate it is. It is time-consuming and labor-intensive. Then manually segment In the process of intersecting stripes, it relies too much on experience and subjective consciousness; for the second method, although the stripes can be extracted quickly, it is not effective for automatic processing of the intersection of lattice stripes, and the neural network is artificial. The pre-defined stripes are processed, and the intersection is also considered, which will also lead to misjudgment

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