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A distortion image correction method and device based on corner detection

A technology of image correction and corner detection, which is applied in the field of image processing, can solve problems such as image distortion, achieve the effects of reducing investment, improving accuracy, and solving image distortion

Active Publication Date: 2019-03-01
SICHUAN CHANGHONG ELECTRIC CO LTD
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AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is: to overcome the image distortion problem caused by non-flat shooting of rectangular images, and to propose a method and device for correcting distorted images based on corner detection

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  • A distortion image correction method and device based on corner detection
  • A distortion image correction method and device based on corner detection
  • A distortion image correction method and device based on corner detection

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Embodiment Construction

[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0040] Such as figure 1 As shown, the distorted image correction method based on corner detection includes the following steps:

[0041] S1. Extracting the edge of the target area of ​​the image to be corrected to obtain an edge image;

[0042] Wherein, the image to be corrected is an image obtained by non-horizontal shooting of a rectangular item, and the target area refers to the area where the corresponding item in the image to be corrected is located, generally a quadrilateral.

[0043] Step S1 may include the following steps:

[0044] S101. Perform grayscale transformation on the image to be corrected to obtain a grayscale image;

[0045] The algorithm of the above-mentioned gray scale transformation is an existing algorithm, and will not be described in d...

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Abstract

The invention relates to the technical field of image processing, and provides a corner detection-based distorted image correction method for the problem of image distortion caused by non-flat shooting of a rectangular image, which comprises the following steps of: extracting the edge of a target area of an image to be corrected to obtain an edge image; extracting candidate angular points according to the edge image to obtain a candidate angular point set; Filtering candidate angular points in the candidate angular point set to obtain four target angular points; according to the method, the to-be-corrected image is converted according to the target corner point to obtain the corrected image, so that the problem of image distortion caused by the non-flat-shot image is solved, the accuracy of subsequent OCR recognition can be further improved, the input of manpower and material resources is reduced for downstream OCR application, and the method is suitable for correcting the image distortion of the rectangular area of the target area.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a distorted image correction method and device. Background technique [0002] In recent years, the development of artificial intelligence technology has advanced by leaps and bounds, and its application fields have become wider and wider, such as robotics, speech recognition, image recognition, computer vision and automatic driving. In terms of image recognition, OCR (Optical Character Recognition, Optical Character Recognition) recognition based on deep learning is widely used in the industry due to its high recognition accuracy and fast recognition speed. As we all know, OCR technology is generally divided into two technical branches, text detection and text recognition. Although end-to-end OCR recognition based on neural networks has been introduced recently, its effect in specific scenarios is not ideal. Therefore, the mainstream OCR recognition technology It is sti...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/34
CPCG06V10/245G06V30/153
Inventor 池明辉
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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