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Diatom electron microscope image restoration method based on generative adversarial network

A repair method and diatom electricity technology, applied in the field of image repair, can solve problems such as blurring of diatom images, and achieve the effect of increasing the clarity and improving the repair effect.

Pending Publication Date: 2022-05-31
深圳美恩美科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to provide a diatom electron microscope image repair method based on generative confrontation network, which can improve the repair effect of the image and solve the problem of blurring when the electron microscope equipment automatically collects diatom images

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  • Diatom electron microscope image restoration method based on generative adversarial network
  • Diatom electron microscope image restoration method based on generative adversarial network
  • Diatom electron microscope image restoration method based on generative adversarial network

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Embodiment Construction

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0022] see figure 1 The present invention provides ...

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Abstract

The invention provides a diatom electron microscope image restoration method based on a generative adversarial network. The diatom electron microscope image restoration method comprises the following steps: acquiring an original high-definition image shot by an electron microscope device for diatom; performing degradation processing on the original high-definition image to form a pairing training set; an image restoration network composed of a Unet network and a StyleGAN network is constructed; training the image restoration network by using the pairing training set to obtain a final image restoration network model; and repairing an original low-definition image shot by the electron microscope equipment for the diatom by using the final image repairing network model. According to the diatom electron microscope image restoration method based on the generative adversarial network provided by the invention, the image restoration effect can be improved, and the problem of blurring when the diatom image is automatically acquired by electron microscope equipment is solved.

Description

【Technical field】 [0001] The invention relates to the technical field of image restoration, in particular to a diatom electron microscope image restoration method based on a generative confrontation network. 【Background technique】 [0002] Diatom detection is considered to be a relatively reliable means of diagnosing drowning, and has broad application prospects in the field of forensic science. At present, the electron microscopy equipment used in diatom inspection is being iteratively upgraded, gradually moving towards automatic data collection, intelligent image recognition, and intelligent data analysis. Computer vision and deep learning related technologies have played an important role in the field of intelligent recognition of diatom images. [0003] Image inpainting technology is a hot issue in the field of image processing. The texture of diatom images can be repaired to enhance the details of the image. Nowadays, the image restoration method based on deep learning...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06N3/08G06N3/04G06K9/62G06V10/774G06V10/82
CPCG06T7/0002G06N3/084G06T2207/20081G06N3/045G06F18/214
Inventor 陈裕华问雪晏成文时莉郭伟锁
Owner 深圳美恩美科技有限公司