DSA vascular image segmentation method based on SIFT feature point clustering and Boolean different operation
A technology of blood vessel images and feature points, applied in the field of medical image processing
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[0032] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.
[0033] Please refer to figure 1 , the present invention provides a DSA blood vessel image segmentation method based on SIFT feature point clustering and Boolean difference operation, the method includes the following steps: input corresponding DSA mask image and live slice image; under the same threshold condition, using The SIFT algorithm extracts the geometric feature points of the mask image and the live image; adopts the method based on the gray gradient value to adjust the local position of the geometric feature points; performs the clustering of the geometric feature points and the Boolean difference operation based on the Euclidean distance...
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