Focusing method, device and equipment and readable storage medium

Abstract

The invention discloses a focusing method, device and equipment and a readable storage medium, and the method comprises the steps: segmenting an image into N image blocks, and determining a first image block; the first image block is an image block except a second image block, and the second image block is an image block of which the brightness sum is greater than a first threshold value in a connected domain of the maximum brightness pixel point; segmenting the edge image into N edge image blocks, and determining a first edge image block; the first edge image block is an edge image block of which the edge value variation of the corresponding edge image block in the previous edge image is not greater than a second threshold value; calculating a focusing evaluation value of the edge image according to the edge value and the number of the second edge image blocks, and focusing according to the focusing evaluation value; the second edge image block is an edge image block which is the first image block and the first edge image block at the same time. According to the technical scheme disclosed by the invention, the focusing evaluation value is calculated by utilizing the edge image block which does not have strong light and does not have sudden entering and exiting of an object, so that the accuracy of automatic focusing is improved.

Description

technical field [0001] The present application relates to the technical field of autofocus, and more specifically, to a focusing method, device, equipment and a readable storage medium. Background technique [0002] Autofocus is a method of using the principle of object light reflection to receive the reflected light by the sensor on the camera, and drive the electric focusing device to focus through computer processing. The focusing process is to use the stepper / motor to move the lens, so that the imaging element moves to the best focus position. [0003] Because the larger the sharpness index value of the picture is, the higher the sharpness of the picture is, and the sharpness index value of the imaged picture at the best focus position is the largest. Therefore, the machine can compare the imaging sharpness index values ​​of different focus positions to determine Know which pictures are clear and which are not. At present, the focus evaluation value of the image is oft...

AI Technical Summary

Problems solved by technology

In this way, the focus evaluation value obtained in normal scenes can be completely consistent with the clarity of the image. However, the focus evaluation value obtained in the case of strong light and sudden entry and exit of objects cannot be completely consistent with the clarity of the image. As a result, the sharpest position finally found during the autofocus process is not the true sharpest position

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