A method and device for automatic focusing of microscopic images based on deep learning

A microscopic image and deep learning technology, applied in neural learning methods, microscopes, image enhancement, etc., can solve the problems of fast calculation speed, slow focusing speed, low focusing accuracy, etc., to improve the compactness and portability, and improve the focus speed and ensure the effect of focusing accuracy

Active Publication Date: 2022-02-22
湖南国科智瞳科技有限公司
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Problems solved by technology

[0005] The present invention provides a microscopic image automatic focusing method and device based on deep learning, which is used to overcome the low focusing precision, slow focusing speed, large amount of calculation, slow calculation speed, poor versatility, high cost and large volume in the prior art. Defects, the focus method has high focusing precision, fast focusing speed, small amount of calculation, fast calculation speed, good versatility, low cost and small size

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  • A method and device for automatic focusing of microscopic images based on deep learning
  • A method and device for automatic focusing of microscopic images based on deep learning
  • A method and device for automatic focusing of microscopic images based on deep learning

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[0027] 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 part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0028] In addition, the technical solutions of the various embodiments of the present invention can be combined with each other, but it must be based on the realization of those skilled in the art. When the combination of technical solutions is contradictory or cannot be realized, it should be considered as a combination of technical solutions. Does not exist, nor is it within the scope of protection required by the present invention.

[0029] The pre...

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Abstract

The invention discloses a microscopic image automatic focusing method and device based on deep learning. The automatic focusing method adopts deep learning technology to evaluate the image clarity of the image to be focused, and at the same time obtain the near focus area of ​​the image to be focused on the clearest focus plane It is still the far focus area, and then gives the direction that needs to be moved during the focusing process, and finally obtains a well-focused image. The method provided by the invention avoids the return error caused by repeated movement during the automatic focusing process, and greatly improves the focusing speed while ensuring the focusing precision.

Description

technical field [0001] The invention relates to the technical field of image processing and pattern recognition, in particular to an automatic focusing method and device for microscopic images based on deep learning. Background technique [0002] The autofocus algorithm based on image processing has become the mainstream of modern autofocus technology due to its advantages of fast speed, high precision, low cost and small size. Existing autofocus techniques based on image processing mainly include two types: Depth of Defocus Method (IDA) and Depth of Focus Method (IFA). The Defocus Depth Method (IDA) refers to the establishment of a defocus model of the optical system. After analyzing and processing the defocus image, the size of the diffuse spot is calculated, and then the depth information is obtained. Its disadvantage is that the accuracy is not enough, the error is large, and it needs to Accurate camera characteristic parameters. In-focus method (IFA) is based on the s...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G02B21/24G02B7/36G06T7/00G06V20/69G06V10/764G06K9/62G06N3/04G06N3/08
CPCG02B21/244G02B7/36G06T7/0002G06N3/08G06T2207/10056G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/30168G06V20/698G06N3/047G06N3/045G06F18/2415G06F18/241
Inventor 张泰王军华许会
Owner 湖南国科智瞳科技有限公司
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