Feature registration method based on branch points

Abstract

The invention provides a feature registration method based on branch points. The method includes: firstly obtaining a green channel of an eye fundus image, and extracting a blood vessel center line; extracting a vascular tree in the eye fundus image by employing a blood vessel center line extracting technology based on gradient and divergence; then extracting feature points of the eye fundus vascular tree by employing an eight-neighborhood table look-up method, and deleting erroneous feature points to obtain Harris angle point coordinates corresponding to correct branch points; performing feature extraction on the obtained branch points by employing an improved feature description algorithm, obtaining corresponding branch angles and vascular lengths, and forming feature vectors; and finally obtaining feature point pairs used for final matching by employing Euclidean distances between the vectors, obtaining a transformation matrix of a reference image relative to an original image by employing a random sample consensus algorithm, performing basic modification on a registered result image, and obtaining the eye fundus image with accurate registration. According to the registration method, good effect is achieved in a disclosed FIRE eye fundus registration database.

Description

technical field [0001] The invention relates to the technical field of fundus image processing, in particular to a bifurcation point-based feature registration method. Background technique [0002] The combination of modern medical care and science and technology has become increasingly close. In the past 20 years, the application of fundus image analysis and processing has become increasingly widespread. The retinal blood vessels in the fundus are the only blood vessels that can be directly observed in the whole body. From the changes of retinal blood vessels, we can see the changes of some internal organs in the body. For example, if capillary hemangioma or small exudate and blood spots appear in the fundus, it is likely to be a symptom of diabetes; arteriosclerosis in the retinal blood vessels is an early warning of high blood pressure. Therefore, in terms of medical diagnosis, fundus blood vessel image information plays an extremely important role in the early detection...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the poor effect of fundus image mosaic existing in the prior art, the present invention provides a feature registration method based on bifurcation points

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