Image processing method and device, medium and computing equipment

Abstract

The embodiment of the invention provides an image processing method. The method comprises the steps of extracting image features of a to-be-processed image to obtain a first feature value matrix; processing the first characteristic value matrix by adopting a classification prediction model, determining a prediction confidence coefficient of the to-be-processed image relative to each predeterminedangle category in a plurality of predetermined angle categories, and generating a prediction confidence coefficient set, the predetermined angle category indicating an angle interval where an offset angle is located; determining an offset angle of the to-be-processed image according to the prediction confidence set; and rotating the to-be-processed image according to the offset angle. According tothe method, the problem of determining the deviation angle of the image is converted into the angle classification task, so that the calculation complexity can be effectively reduced, and the accuracy of determining the deviation angle is improved. In addition, the embodiment of the invention further provides an image processing device, a medium and computing equipment.

Description

technical field [0001] Embodiments of the present invention relate to the field of image processing, and more specifically, embodiments of the present invention relate to an image processing method, device, medium, and computing device. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] In work and life, it is often necessary to recognize and extract the text in the image to edit the extracted text; or, when the image is recognized and processed, the recognition of the text in the image is also essential. [0004] Generally, an optical character recognition (optical Character Recognition, OCR) method is often used when recognizing text in an image. However, the angle of the text in the image has a great influence on the accuracy of the OCR method to recognize the text. Us...

AI Technical Summary

Problems solved by technology

In the prior art, steps such as mathematical modeling, correction of distortion function parameters, calculation of reverse projection coordinates, and image restoration are often required when correcting images,

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