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Fluorescein contrast fundus image extraction method based on ngc-acm

A fundus image and extraction method technology, applied in the field of image recognition, to achieve a good global segmentation effect, improve the effect and the quality of the effect

Active Publication Date: 2017-11-07
CENT SOUTH UNIV
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  • Claims
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Problems solved by technology

However, most existing algorithms only segment images based on either region or boundary information, and using this incomplete information as a segmentation criterion undoubtedly restricts the quality of the segmentation results to a certain extent.

Method used

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  • Fluorescein contrast fundus image extraction method based on ngc-acm
  • Fluorescein contrast fundus image extraction method based on ngc-acm
  • Fluorescein contrast fundus image extraction method based on ngc-acm

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0063] Such as figure 1 Shown is a schematic flow chart of the method of the present invention, a method for extracting fundus images based on NGC-ACM fluorescein contrast, comprising the following steps:

[0064] Step 1: Manually select the initial non-perfusion area in the fluorescein contrast-enhanced fundus image, and use the NGC-ACM algorithm to determine the boundary of the initial non-perfusion area; the results are as follows figure 2 As shown, where (a) is the initial non-perfusion area manually selected, (b) is the local extraction result obtained only near the initialization area, and the effect is good, (c) is running NGC- The global result obtained by the ACM algorithm is poor, and a large number of invalid extraction areas appear.

[0065] Step 2: remove the text information and the background area in the area included in the boundary o...

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Abstract

The invention discloses a method for extracting a fluorescein contrast fundus image based on NGC‑ACM, which comprises the following steps: firstly, the fluorescein contrast fundus image is processed, and a user selects an area of ​​interest to preliminarily determine the boundary of the non-perfusion area; The fluorescein contrast-enhanced fundus image is fuzzy divided, and the range of the non-perfusion area is determined; secondly, a binary template is made for the fluorescein-contrast fundus image to eliminate the boundary information in the area extraction result; finally, the boundary of the extracted non-perfusion area is And the mathematical morphology processing of the range of non-perfusion area, and finally obtain the extraction result of non-perfusion area. Greatly improved the effect and quality of global extraction of non-perfused regions.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and relates to medical image processing, in particular to an NGC-ACM-based method for extracting fundus images of fluorescein contrast. Background technique [0002] In today's society, the number of people with diabetes is increasing with the improvement of living standards, resulting in a very high incidence of diabetic retinopathy (diabetic retinopathy, DR, referred to as "sugar net"). At the same time, the fundus retinal imaging technology developed in recent years provides a simple and non-invasive fundus detection method for diabetic reticulum patients, which is easily accepted by patients and has become an important basis for doctors to diagnose ophthalmic diseases. However, the current diagnosis methods in hospitals mainly observe and analyze the fluorescein contrast fundus images with the naked eyes of doctors, which requires high experience and experience of doctors, and the p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/12G06T5/00
Inventor 向遥李暄邱从贤朱承璋邹北骥陈慧慧高玲
Owner CENT SOUTH UNIV
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