Method for matching generalized Hough transform image based on local invariant geometrical characteristics
A matching method and image technology, applied in the field of image matching, can solve problems such as affecting the accuracy of the algorithm, and achieve the effects of reducing memory requirements, good adaptability, and good robustness
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[0035] 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. The description herein is only used to explain the present invention when referring to specific examples, and does not limit the present invention.
[0036] The generalized Hough transform image matching method based on local invariant geometric features in this embodiment is divided into two parts: an offline stage and an online stage.
[0037] In the offline stage, the templates are preprocessed first. Specific steps are as follows:
[0038] A1). Edge extraction is performed on the template image to obtain the edge point P of the template image i (i=1,2,3.N.,) where N is the number of template image edge points, and obtain the template image edge point center P according to the obtained edge points r .
[0039] There are many mature methods for image edge extr...
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