Picture correction method and system based on ORB algorithm
A correction method and algorithm technology, which is applied in the image correction and system field based on the ORB algorithm, can solve problems such as small translation or rotation of sequence images, inability to read image information, and inability to meet subsequent image processing requirements, etc., to eliminate false matching points Effect
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[0071] refer to figure 2 , including the following steps:
[0072] The camera collects image data and prepares for uploading;
[0073] Input the picture to be corrected and the template picture;
[0074] Perform feature extraction on the image to be corrected and the template image;
[0075] Perform feature point matching to obtain feature matching point pairs;
[0076] Determine whether the feature matching point pair is greater than 4, if yes, continue to execute downward; if not, return to re-collect image data;
[0077] Compute the homography matrix H.
[0078] Specifically, the homography matrix H is calculated by the following formula:
[0079] For two images, suppose the point on the template image is (x' i ,y' i ), the point on the target image is (x i ,y i ), the projection transformation relationship of the two images is as follows:
[0080]
[0081] or in vector form:
[0082] A'=HA
[0083] In the formula: A'=(x' i ,y' i ,z' i ) T , A=(x i ,y ...
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