Image registration method based on similar feature triangles
A similar feature and image registration technology, which is applied in the field of image registration under similar transformation, can solve the problems of time and resources wasted in the estimation of similar transformation model, the accuracy and speed cannot meet higher requirements, and the algorithm wastes time. Increase accuracy and stability, save model verification time, and ensure accuracy and stability
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[0035] In the present invention, based on the traditional RANSAC image registration method, the process before the full data inspection is optimized and improved. First, the similarity transformation model is selected as the accurate transformation registration model, and the random sample model is pre-tested by using the characteristic triangle similarity between the two images to be registered, and the maximum Euclidean distance method is used to improve the stability of the registration sex. This technical invention is mainly divided into the following parts:
[0036] 1. Feature point extraction and feature matching
[0037] The two images to be registered are divided into reference image and target image. Feature extraction algorithm is used to extract feature points in two images respectively. Then use the feature matching algorithm to match the extracted feature points, and obtain the one-to-one correspondence between the feature points in the target image and the fea...
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