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Eye fundus image quality evaluation method and device and storage medium

A fundus image and quality technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of the applicability and real-time performance of quality assessment methods cannot meet the clinical application scenarios of AMD screening, and achieve the effect of ensuring stability.

Active Publication Date: 2019-07-16
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] This application provides a method, device and storage medium for evaluating the quality of fundus images, which can solve the problem that the applicability and real-time performance of the quality evaluation methods in the prior art cannot meet the clinical application scenarios of AMD screening

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  • Eye fundus image quality evaluation method and device and storage medium
  • Eye fundus image quality evaluation method and device and storage medium

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Embodiment Construction

[0067] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application. The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or modules is not necessarily limited to the expressly listed Those steps or modules, but may include other steps or modules that are not clearly l...

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Abstract

The invention relates to the technical field of image detection, and provides an eye fundus image quality evaluation method and device, and a storage medium, and the method comprises the steps: obtaining a to-be-processed eye fundus image set; constructing a classification model according to a deep learning method and the fundus image set; acquiring an eye fundus image of the clinical patient acquired in real time; after determining that the fundus image is qualified according to the classification model, performing image black edge cutting processing on the fundus image according to the classification model, and inputting the image black edge cutting processing into a target detection network; positioning a optic disc area and a macular area in the fundus image according to the target detection network; and if it is determined that there is an abnormal image with a quality defect in the processed fundus image, sending prompting information, wherein the prompting information is used for prompting a collection part corresponding to the abnormal image to be collected again. By adopting the scheme, the collection quality of the fundus image can be fed back in real time, and the quality stability of the fundus image is ensured.

Description

technical field [0001] The present application relates to the technical field of image detection, in particular to a method, device and storage medium for evaluating the quality of fundus images. Background technique [0002] With the increase of patients with diabetes, high blood pressure, glaucoma, etc. and the development of fundus screening, the number of fundus images collected has increased sharply, which has brought great pressure to ophthalmology. Since a clear fundus image is a prerequisite for automatic screening of fundus lesions, it is necessary to evaluate the quality of the fundus image. The quality assessment methods currently used include: a reference-oriented method based on edge and brightness, based on the length of visible blood vessels in the macular area and based on A non-reference-oriented method for multi-scale filter bank responses, based on the ellipse local blood vessel density algorithm, and a comprehensive quality assessment method that fully co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T7/0012G06T2207/20081G06T2207/20084G06T2207/30168
Inventor 刘莉芬
Owner PING AN TECH (SHENZHEN) CO LTD
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