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Scattering medium imaging method and system based on machine learning

A technology of machine learning and imaging methods, applied in machine learning, 2D image generation, instruments, etc., can solve problems such as low application value and redundant wavefront feedback modulation.

Active Publication Date: 2020-02-21
SHANGHAI JIAO TONG UNIV
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  • Claims
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Problems solved by technology

In recent years, many methods have been proposed to realize imaging of scattering media, such as: adaptive optics technology requires lengthy and complicated wavefront feedback modulation, and usually requires a known object as a reference when performing imaging, and its practical application value is not high

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  • Scattering medium imaging method and system based on machine learning
  • Scattering medium imaging method and system based on machine learning
  • Scattering medium imaging method and system based on machine learning

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Embodiment Construction

[0066] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0067] The technical problem to be solved by the present invention is to provide a method and system for imaging scattering media based on machine learning, which is used to improve the imaging accuracy and efficiency in the presence of scattering media, and to ensure imaging accuracy while improving efficiency.

[0068] The technical solution adopted by the present invention to solve the above-mentioned technical problems is: in the presence of scattering media, using the feature that the speckle and th...

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Abstract

The invention provides a scattering medium imaging method and system based on machine learning. The method comprises a speckle classification step of carrying out the classification on unknown speckles based on known objects for measured speckles corresponding to an unknown object to obtain a classification result, and an image reconstruction step of selecting known speckles and objects of a corresponding type to learn an inverse scattering function corresponding to a scattering medium according to the obtained classification result, and then performing image reconstruction of the unknown object on the unknown speckles according to the inverse scattering function to realize scattering medium imaging. According to the invention, the imaging precision and efficiency in the presence of the scattering medium are improved, and the imaging precision is ensured while the efficiency is improved.

Description

technical field [0001] The present invention relates to the field of optical imaging of scattering media, in particular to a method and system for imaging scattering media based on machine learning. Background technique [0002] Due to the scattering effect of the scattering medium, it is difficult for the traditional optical imaging system to effectively detect its internal targets. Imaging through scattering media has important scientific and application value, especially in the fields of biomedical imaging and remote sensing mapping. In recent years, many methods have been proposed to realize imaging of scattering media, such as: adaptive optics technology requires lengthy and complicated wavefront feedback modulation, and usually requires a known object as a reference when performing imaging, and its practical application value is not high. Scattering medium imaging technology scheme based on machine learning can realize scattering medium imaging without reference objec...

Claims

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Application Information

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IPC IPC(8): G01N21/25G06K9/62G06N20/00G06T11/00
CPCG01N21/255G06T11/00G06N20/00G06F18/2411
Inventor 刘兴钊陈卉高叶盛
Owner SHANGHAI JIAO TONG UNIV
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