Medical image registering method by means of improved NNDR strategy
A medical image and registration technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of small feature point range, reduction, affecting the registration accuracy and registration image effect, etc., to increase the number of feature points , improve accuracy, improve the effect of accuracy
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[0044] A medical image registration method utilizing an improved NNDR strategy, the specific steps comprising:
[0045] 1) Input two multimodal medical images to be registered, one of which is used as a reference image and the other as a target image;
[0046] 2) Extract feature points and create descriptors;
[0047]The SIFT algorithm is used to extract the feature points in the image to be registered. SIFT establishes the scale space through the Gaussian pyramid, and then uses the Gaussian difference to find the extreme points in the scale space; after removing some unstable points, the final feature points are obtained. In order to make the feature points have rotation invariance, each feature point is given a main direction. In this way, three pieces of information about feature points can be obtained: position, scale, and direction. In this way, a 128-dimensional keypoint descriptor can be generated.
[0048] 3) New descriptor information.
[0049] In the SIFT algorit...
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