Multi-mode retinal fundus image registration method and device

A fundus image, multi-modal technology, applied in the field of image processing, can solve problems such as insufficient image accuracy, and achieve the effect of avoiding a large number of misjudgments and improving accuracy

Pending Publication Date: 2020-06-09
SOUTH CHINA UNIV OF TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The embodiment of the present application provides a multi-modal retinal fundus image registration method and device, which solves the problem of insufficient accuracy of the image obtained during registration by the existing image registration method

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  • Multi-mode retinal fundus image registration method and device
  • Multi-mode retinal fundus image registration method and device
  • Multi-mode retinal fundus image registration method and device

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Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0040] Fundus examination is very important, many diseases can be reflected from the fundus. The retinal blood vessels in the fundus are the visible blood vessels in the human body, and doctors use it as a window to understand the blood vessels of other organs. Therefore, its changes reflect the degree of changes in some organs to a certain extent. For example, retinal arteriosclerosis can be seen in the fundus of hypertensive patients, and capillary hemangiomas, small bleeding poi...

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Abstract

The invention discloses a multi-modal retinal fundus image registration method and device. The method comprises the steps: extracting a second feature point set in a first feature point set referenceimage in a floating image according to a scale invariant feature conversion algorithm; obtaining a first feature difference matrix according to the second shape context features of the first feature point set and the second feature point set, and obtaining a second feature difference matrix according to the second texture features of the first feature point set and the second feature point set; algorithm according to expectation maximization, solving and calculating the first characteristic difference matrix and the second characteristic difference matrix through a Gaussian mixture model and aBayesian law; after a posterior probability matrix of Bayesian rules of the first feature difference matrix and the second feature difference matrix based on a Gaussian mixture model is obtained, calculation is conducted according to the posterior probability matrix, and point set coordinates are obtained until the calculation result of the expectation maximization algorithm converges or reachesthe preset number of iterations; and obtaining a registered image according to the point set coordinates.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to a multimodal retinal fundus image registration method and device. Background technique [0002] The retinal blood vessels in the fundus are the visible blood vessels in the human body. Doctors regard them as a window to understand the blood vessels of other organs, and their changes reflect the degree of changes in some organs to a certain extent. In order to better observe the retinal blood vessels, the image registration method is usually used to process the images generated by the color fundus image and the fundus fluorescein contrast image, so that the information of the two images can complement each other to obtain more comprehensive information. [0003] The existing image registration method is to obtain corner points including branch points and intersection points by performing Harris corner point detection on two images, judge the attributes of th...

Claims

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Application Information

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IPC IPC(8): G06T7/33G06T7/00G06K9/46G06K9/62G06F17/16G06F17/18
CPCG06T7/33G06T7/0012G06F17/16G06F17/18G06T2207/30041G06V10/464G06F18/253Y02T10/40
Inventor 蔡宏民但婷婷
Owner SOUTH CHINA UNIV OF TECH
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