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Low-dimensional nano material identification method based on SEM image

A nanomaterial and low-dimensional nanotechnology, applied in the intersection of computer pattern recognition and nanomaterials, can solve problems such as classification and identification that have not yet been reported, and achieve the effect of high degree of automation, reduced computational complexity, and broad application prospects.

Active Publication Date: 2012-07-18
NANTONG HUALONG MICROELECTRONICS
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Problems solved by technology

Although fractal dimension and texture analysis have achieved certain results in the characterization of material morphology, there have been no related reports on more in-depth and accurate classification and identification.

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  • Low-dimensional nano material identification method based on SEM image
  • Low-dimensional nano material identification method based on SEM image
  • Low-dimensional nano material identification method based on SEM image

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Embodiment Construction

[0022] The method for automatic classification and recognition of low-dimensional nanomaterials based on SEM images provided by the present invention is mainly composed of two steps, one is extracting texture features from SEM images of nanomaterials and constructing texture feature vectors; the other is designing SVM classifiers. The specific steps and principles are as follows:

[0023] (1) Texture feature extraction, constructing texture feature vector

[0024] The surface of different nanomaterial SEM images presents obviously different texture structure characteristics. According to the relevant theory of texture analysis, wavelet packet transform, as a fine signal analysis method, is an ideal tool for studying image texture characteristics, which can well reflect the characteristics of nanomaterial SEM. Image surface texture features.

[0025] According to the basic theory of multiresolution analysis, the orthogonal wavelet decomposition can be defined as where W j i...

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Abstract

The invention belongs to the crossed technical field of computer mode identification and nano material, and relates to a low-dimensional nano material identification method based on an SEM image. The method comprises the following steps of: (1) preprocessing a known nano material SEM image sample; (2) performing two-dimensional wavelet transformation on the preprocessed image to get sub-image matrixes on different frequency bands; (3) extracting characteristics of the sub-image matrixes on each frequency band, and taking a statistical value of each sub-image matrix as a characteristic value for representing surface texture of the nano material; (4) according to the characteristic value, taking a Gaussian radial basis function as a support vector machine kernel function to find an optimal hyperplane between any two classes, and creating a classification model for different classes of nano materials; (5) extracting a texture characteristic value of the known nano material SEM image sample, and identifying the unknown nano material by voting according to the classification model obtained in the step (4). The low-dimensional nano material identification method based on the SEM image represents and distinguishes different nano material structure types more accurately and effectively, and has the advantages of high accuracy, strong expansibility, high degree of automation and the like.

Description

technical field [0001] The invention belongs to the intersecting field of computer pattern recognition and nanometer materials, and relates to a method for realizing low-dimensional nanometer material recognition based on computer image processing, which can be used for shape characterization of nanomaterials, and provides guidance for synthesis and production of nanomaterials. Background technique [0002] At present, low-dimensional nanotechnology (usually including one-dimensional and two-dimensional nanotechnology), especially one-dimensional nanotechnology has gradually become a revolutionary force in industrial production and scientific research, and represents the future development direction of nanotechnology to a certain extent; however, due to The structure and shape of low-dimensional nanomaterials are complex and diverse, and the corresponding auxiliary detection methods and morphology characterization technologies are relatively lacking. Especially in the aspect ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N23/22B82Y35/00G06K9/62
Inventor 何凯庞鹏飞张伟伟葛静祥
Owner NANTONG HUALONG MICROELECTRONICS
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