Focusing method, device, terminal and storage device based on bp neural network

A technology of BP neural network and focusing method, applied in the field of digital image processing, can solve the problem of slow focusing speed, and achieve the effect of increasing speed, reducing time and improving accuracy

Active Publication Date: 2021-05-11
ZHEJIANG DAHUA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] This application provides a focusing method, device, terminal and storage device based on BP neural network to solve the problem that the existing focusing method has a slow focusing speed and relies on the object distance curve to achieve

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  • Focusing method, device, terminal and storage device based on bp neural network
  • Focusing method, device, terminal and storage device based on bp neural network
  • Focusing method, device, terminal and storage device based on bp neural network

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Embodiment Construction

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0020] The terms "first", "second", and "third" in this application are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, features defined as "first", "second", and "third" may explicitly or implicitly include at least one of these features. In the description of the present application, "plurality" means at least t...

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Abstract

The invention discloses a focusing method, device, terminal and storage device based on a BP neural network, wherein the focusing method based on a BP neural network includes: using a camera lens to collect a target image; As the input parameter of the neural network to obtain the predicted focus position, the current measured object distance is obtained by detecting the object by the distance sensor arranged outside the lens. Through the above method, the present invention can use the current measured object distance from the object as the input parameter of the neural network to obtain the best focus position, which avoids confirming the clear focus position in a larger focus range and reduces the focus The amount of data that needs to be processed at the same time improves the speed and accuracy of focusing.

Description

technical field [0001] The present application relates to the technical field of digital image processing, in particular to a focusing method, device, terminal and storage device based on BP neural network. Background technique [0002] With the development of security technology becoming more and more mature, people have higher and higher requirements for real-time and accuracy of 3A (autofocus (AF), auto exposure (AE), auto white balance (AWB)) image algorithms in surveillance video. Since the content of the video is a dynamic scene, the focus is constantly changing, especially in the zoom scene. If the auto-focus algorithm is not ideal, it is easy to focus too slowly, or even blur or defocus. [0003] At present, the focusing strategy commonly used in engineering applications is: analyze the collected image information, obtain the current focusing state of the imaging system, drive the lens through driving the motor to traverse all possible focusing positions, and finally...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/232G06N3/04G06N3/08
CPCG06N3/084H04N23/67H04N23/675G06N3/045
Inventor 夏瑞卢二利陈明珠况璐陈天钧刘春龙
Owner ZHEJIANG DAHUA TECH CO LTD
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