X-shaped corner extraction method based on image contour

Abstract

The invention proposes an X-shaped corner extraction method based on an image contour, and relates to the technical field of visual detection. The method comprises the steps: sequentially traversing Harris corners on one contour through the construction of a window: taking a point which has the smallest coordinate mean value relative to seven corners as an X-shaped corner when the number of traversed corners is seven, carrying out the traversing of a next contour, extracting the X-shaped corner when the number of corners is four, and completing the extraction of X-shaped corners of all contours. The method can achieve the filtering of pseudo corners in an image, and can achieve the precise detection of a corner point in the image, wherein the detection precision can reach 0.09 pixels. Through the setting of the surrounding background of a corner, the method enables a mark point not to be affected by a feature point in an environment, and achieves the detection of the corner in a complex scene. Through combining with the advantages of Harris precise extraction and contour positioning, the method achieves the subpixel-level detection of a laid corner, and improves the coordinate precision of the corner. Through the dynamic adjustment of an image preprocessing threshold value, the method reduces the impact from the illumination in different scenes, and improves the corner detection success rate.

Description

technical field [0001] The invention relates to the technical field of visual detection, in particular to an X-shaped corner point extraction method based on image contours. Background technique [0002] With the continuous development of science and technology, cameras have also developed rapidly, and there are more and more types and functions of cameras, and people have also enjoyed various conveniences brought by the development of science and technology. For example, people can obtain the environmental information in the parking lot by setting the camera on the vehicle and collecting images through the camera. [0003] The current cameras need to calibrate the parameters to obtain more accurate parameters, and the calculation of parameters is directly affected by the accuracy of the corner points, which requires higher accuracy of corner point extraction. The traditional corner point extraction technology has a corner point detection method based on the segment test, b...

AI Technical Summary

Problems solved by technology

The traditional corner point extraction technology has a corner point detection method based on the segment test, but the image scene is complex, and the template size of the segment test and the gray difference threshold are difficult to choose, etc., resulting in the detection of X-shaped corner points. Cause missed detection, multiple detection, and more false corners

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