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A Recognition Method of Optical Scanning Holographic Image Based on Convolutional Neural Network

A convolutional neural network and holographic image technology, which is applied to biological neural network models, neural architectures, instruments, etc., to achieve the effects of simple operation, high efficiency, and strong practicability

Active Publication Date: 2020-03-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, no scholars have combined deep learning to deal with the problem of hologram recognition.

Method used

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  • A Recognition Method of Optical Scanning Holographic Image Based on Convolutional Neural Network
  • A Recognition Method of Optical Scanning Holographic Image Based on Convolutional Neural Network
  • A Recognition Method of Optical Scanning Holographic Image Based on Convolutional Neural Network

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] This embodiment provides an optical scanning holographic image recognition method based on a convolutional neural network. The experimental structure diagram used is as follows figure 1 As shown, the scanned object such as figure 2 shown, including the following steps:

[0038] Step 1. First, the angular frequency is ω 0 The laser beam is divided into two optical paths with different beam directions by the first beam splitter BS1, and the angular frequency of one beam of light becomes ω under the action of the acousto-optic modulator AOFS 0 +Ω, then through the mirror M1, the first pupil p 1 (x, y) and the first convex lens L1 become a spherical wave; at the same time, another beam of light passes through the mirror M2, and the second pupil p 2 (x, y) and the second convex lens L2;

[0039] Step 2. Frequency is ω 0 A spherical wave of +Ω a...

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Abstract

The invention discloses an optical scanning holographic image recognition technology based on a convolutional neural network, belongs to the field of optical scanning holographic and deep learning, and mainly solves the problem of optical scanning holographic image recognition. The present invention uses a convolutional neural network to identify holograms. The invention effectively and intelligently realizes the identification problem of the optical scanning hologram. This hologram identification method is applicable to various fields.

Description

technical field [0001] The invention belongs to the technical field of optical scanning holography and deep learning, and in particular relates to an optical scanning holographic image recognition method based on a convolutional neural network. Background technique [0002] Optical scanning holography (OSH) is a unique real-time holographic technique that uses the principle of two-dimensional optical scanning to obtain a hologram of a three-dimensional object. As a 3-D imaging technology, OSH has applications in many fields, such as 3-D remote sensing, robot vision, pattern recognition and other fields. [0003] In recent years, the study of deep learning has become a hot topic among scholars at home and abroad. The motivation is to establish a neural network that simulates the human brain for analysis and learning, and imitates the mechanism of the human brain to interpret data, such as images, texts and sounds. At present, some researchers have used deep learning to solve...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G03H1/00G03H1/08G03H1/10G06N3/04
CPCG03H1/0005G03H1/08G03H1/10G06N3/045
Inventor 欧海燕邹金金邵维王秉中
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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