Image correction method and device, electronic equipment and storage medium

Abstract

The invention relates to an image correction method, and the method comprises the steps: obtaining a target image, carrying out the normalization processing of the target image, inputting the normalized target image into a pre-trained neural network model, and enabling the neural network model to comprise a feature extraction module, a classification module and a calculation module, the feature extraction module extracts feature information of the target image, the classification module classifies the target image according to the feature information, the calculation module generates a first corner coordinate corresponding to the target image according to the feature information, and if it is determined that the target image comprises a document according to a classification result, the first corner coordinate is obtained; and correcting the target image according to the first angular point coordinates to obtain a corrected target image. According to the invention, the document in the image can be detected to obtain the boundary, the document is corrected, the precision is high, and the correction effect is good.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to an image correction method, device, electronic equipment and storage medium. Background technique [0002] With the continuous development of computer technology, the application of electronic documents is becoming more and more extensive. In the process of converting paper documents into electronic documents, it is necessary to use cameras, scanners, smart terminals and other tools to shoot. In the process of shooting or scanning , it is inevitable that the image of the document after shooting or scanning will be distorted and deformed, which is not convenient for subsequent operations such as text recognition. However, the existing image processing method cannot accurately detect the boundary of the document in the document image, and the detection accuracy is low, so it cannot be corrected accurately. At the same time, the correction failure will occur. F...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of computer technology, the application of electronic documents is becoming more and more extensive. In the process of converting paper documents into electronic documents, it is necessary to use cameras, scanners, smart terminals and other tools to shoot. In the process of shooting or scanning , it is inevitable that the image of the document after shooting or scanning will be distorted and deformed, which is not convenient for subsequent operations such as text recognition

However, the existing image processing method cannot accurately detect the boundary of the document in the document image, and the detection accuracy is low, so it cannot be corrected accurately. At the same time, the correction failure will occur. For example, the announcement number is CN106156761B. The straight line detected by each table cell in the separated table image is corrected to realize the detection and recognition of the table image, but for non-table images that do not include cell lines, the applicability of this method will be relatively poor

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