Logging image definition recognition method and device, medium and electronic equipment

Abstract

The invention relates to the field of image definition recognition, and discloses a logging image definition recognition method and device, a medium and electronic equipment. The method comprises the following steps: establishing a logging image sample library comprising a plurality of logging images; acquiring actual definition information corresponding to each logging image; acquiring a plurality of definitions corresponding to each logging image; determining a target weight corresponding to each target image definition determination algorithm according to the plurality of definitions corresponding to each logging image and the actual definition information; and determining the definition of the target logging image by using the target weight corresponding to each target image definition determination algorithm and each target image definition determination algorithm. According to the method, different advantages of various image definition determination algorithms are integrated, so that the method capable of accurately identifying the definition of the logging image is formed, and accurate quantification of the definition of the logging image can be realized.

Description

Technical field [0001] The present disclosure relates to image sharpness recognition technology, and particularly relates to a method for identification log image clarity, apparatus, medium, and an electronic device. Background technique [0002] Typically, for a particular imaging system, which reflects the resolution imaging system focus state. When the focusing effect is good, more clear image presentation, abundant information such as details of the profile, projecting different feature information on the spatial or frequency domain. For example, in the spatial domain, the image gray value as the main feature information; in the frequency domain, wherein the high frequency component information. Evaluation function generally used image focus (Focus Value) to measure whether the image is in focus. [0003] Better focus state image, the image is clear, the performance of image characteristic values ​​of adjacent pixels in the spatial domain, such as gray value, contrast, etc., ...

AI Technical Summary

Problems solved by technology

When the image is out of focus, many details are lost, making the object image blurred

Different sharpness recognition methods have differences in processing different blurred images, and there are conditional restrictions on the pictures to be recognized

For example, when using the entropy function for recognition, the main focus is on the uniform arrangement of points in the picture. If a picture is compared with a picture with only black and white bars and a picture that is blurred but has many black dots, Then the clear picture obtained by the entropy function recognition method is a fuzzy picture, which is obviously contrary to the facts, and the correct recognition result cannot be obtained.

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