Image detection method and device

Abstract

The invention provides an image detection method and device. The image detection method comprises obtaining an image to be detected, carrying out edge processing on the image to be detected in dependence on an edge detection algorithm, and obtaining a first image; and carrying out directional correction on the first image in order to obtain a target image. With respect to the image detection method and device, an edge operator with a certain width is employed to replace a conventional edge operator, isolated noise can be eliminated, and a real edge can be gathered; furthermore, a plurality of points to be selected corresponding to the edge are divided into groups in dependence on the distance and / or direction, and therefore the points to be selected which are distributed scattered show some regularity, in dependence on the shown regularity, a fitting line corresponding to the edge can be fitted, the quality of the candidate fitting line is improved, and furthermore the image edge positioning accuracy is improved. Furthermore, the image is subjected to directional correction in a planar and three-dimensional manner by means of a multi-edge operator and space grid correction, the correction precision is improved, and the calculated amount is reduced.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an image detection method and device. Background technique [0002] With the rapid development of information technology, image data has become one of the main sources of information. In actual life and work, it is necessary to obtain information in some images with frames in pictures or videos, for example, information on business cards, or information on labels, etc. When obtaining such information, terminal equipment is required The image is detected, especially the edge of the image is located and the orientation of the image is corrected. [0003] Traditional image edge detection methods generally use Hough transform or saliency detection, but these methods generally have the defects of large amount of calculation and low detection accuracy, and the existing image direction correction methods also have low correction accuracy And the method is more complicated defect. ...

AI Technical Summary

Problems solved by technology

[0003] Traditional image edge detection methods generally use Hough transform or saliency detection, but these methods generally have the defects of large amount of calculation and low detection accuracy, and the existing image direction correction methods also have low correction accuracy And the method is more complicated

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