An image acquisition method, device and electronic equipment

Abstract

The present application provides an image acquisition method, including: determining multiple focal points within the target range of estimated focal points, where the focal point is the distance from the sample; obtaining a field image corresponding to each focal point under the same field of view; dividing the field of view image into multiple sub-regions, and calculate the sharpness evaluation value corresponding to the sub-region; according to all the sharpness evaluation values ​​of all the visual field images, determine and store the corresponding visual field images. It can be seen that the present application acquires each field of view image of the focal point determined by the estimated focal point under the same field of view, calculates the sharpness evaluation value of each sub-region of the field of view image, and determines and stores the corresponding Field of view image, so that the details of the image in the field of view can be clearly displayed in a multi-focus and zoom manner, and the diverse information of the sample in the field of view is preserved. The present application also provides an image acquisition device and electronic equipment, both of which have the above beneficial effects.

Description

technical field [0001] The present application relates to the technical field of image acquisition, and in particular to an image acquisition method, device and electronic equipment. Background technique [0002] In the application of medical fields such as detecting cells, microorganisms or viruses under a microscope, due to the different sizes and shapes of the objects, when observing small microscope specimens manually, the focus is usually manually fine-tuned to achieve the purpose of careful observation, but in computer vision processing, generally taking pictures Or video records are often unable to present detailed photographs of specimens. In related technologies, acquisition instruments under a microscope generally use a focusing algorithm to find a clear focus position and start taking pictures or recording videos, but single-layer shooting or video cannot save the target details of different thicknesses of specimens that are not on the same focal plane. [0003] ...

AI Technical Summary

Problems solved by technology

[0002] In the application of medical fields such as detecting cells, microorganisms or viruses under a microscope, due to the different sizes and shapes of the objects, when observing small microscope specimens manually, the focus is usually manually fine-tuned to achieve the purpose of careful observation, but in computer vision processing, generally taking pictures or video recordings often fail to present detailed photographs of specimens

In related technologies, acquisition instruments under a microscope generally use a focusing algorithm to find a clear focus position and start taking pictures or recording videos, but single-layer shooting or video cannot save the target details of different thicknesses of specimens that are not on the same focal plane

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