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Retina image analysis method and device, and calculation equipment

A technology of image analysis and computing equipment, applied in the field of image processing, to achieve accurate segmentation results, eliminate uneven illumination, and clearly distinguish details

Active Publication Date: 2017-09-01
珠海全一科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] To this end, the present invention provides a retinal image analysis method, apparatus and computing equipment to solve or at least alleviate the above existing problems

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  • Retina image analysis method and device, and calculation equipment
  • Retina image analysis method and device, and calculation equipment
  • Retina image analysis method and device, and calculation equipment

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Embodiment Construction

[0040] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0041] Figure 1A A schematic diagram of an image analysis system 100a according to an embodiment of the present invention is shown. Figure 1A The illustrated system 100a includes a retinal image acquisition device 110 and a computing device 200 . a, Figure 1A The system 100a in the above is only exemplary. In a specific practical situation, any number of retinal image acquisition devices 110 and computing devices 200 may be inclu...

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Abstract

The invention discloses a retina image analysis method applied to calculation equipment. The method comprises steps that a to-be-analyzed retina image is acquired, and the to-be-analyzed retina image is pre-processed to acquire an enhanced image; the enhanced image is filtered to extract a background image; a bright region image and a dark region image are determined according to RGB color values of pixels of the enhanced image and the background image; a videodisc region and a bright noise region are determined, and the videodisc region and the bright noise region are removed from the bright region image to acquire an exudation region; a blood vessel region and a dark noise region are determined, and the blood vessel region and the dark noise region are removed from the dark region image to acquire a hemorrhage region. The invention further discloses a retina image analysis device of the retina image analysis method, and the calculation equipment equipped with the retina image analysis device. The method is advantaged in that the exudation region and the hemorrhage region of the retina image can be rapidly acquired through segmentation.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a retinal image analysis method, device and computing equipment. Background technique [0002] Diabetes is a systemic metabolic disease. Long-term hyperglycemia will cause a series of chronic complications of diabetes, among which Diabetic Retinopathy (Diabetic Retonopathy, referred to as sugar net) is the most common eye complication. It can affect the patient's vision and even lead to blindness. Retinal hemorrhage and exudation lesions are one of the early visible signs of diabetic reticulum. Therefore, it is necessary to identify the hemorrhage area and exudation area on the retinal image through digital image processing technology. [0003] From the retinal image, because the hemorrhage is the product of microaneurysm rupture, it presents a gradual spreading trend clinically, so the color and shape of the hemorrhage area are similar to blood vessels, with ir...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/90
CPCG06T7/0012G06T7/11G06T7/90G06T2207/20132G06T2207/30041
Inventor 季鑫
Owner 珠海全一科技有限公司
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