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A Retinal Vessel Segmentation System Based on Combination of Hessian Matrix and Region Growing

A retinal blood vessel and region growth technology, applied in the field of retinal blood vessel segmentation system, can solve problems such as low contrast and blood vessel rupture in algorithm segmentation results, and achieve the effect of improving accuracy and improving blood vessel rupture.

Active Publication Date: 2020-07-28
NORTHEASTERN UNIV LIAONING
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Problems solved by technology

[0004] The above method can extract most of the retinal blood vessels, but due to the limitation of the algorithm or the low contrast of the actual imaging, the segmentation results of the algorithm often show the phenomenon of broken blood vessels, which needs further improvement

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  • A Retinal Vessel Segmentation System Based on Combination of Hessian Matrix and Region Growing
  • A Retinal Vessel Segmentation System Based on Combination of Hessian Matrix and Region Growing
  • A Retinal Vessel Segmentation System Based on Combination of Hessian Matrix and Region Growing

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Embodiment Construction

[0042] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:

[0043] The invention discloses a retinal blood vessel segmentation system based on the combination of hessian matrix and region growth. The system includes an image preprocessing unit, a hessian matrix enhancement unit, a connected domain classification unit, a region growth unit and a morphological postprocessing unit. Such as figure 1 Shown is the working flow diagram of the system of the present invention.

[0044] The retinal image preprocessing unit can improve the image quality and reduce the interference caused by the imaging problem to the subsequent detection process. It includes a background image acquisition module and a contrast adaptive histogram equ...

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Abstract

The invention discloses a retinal blood vessel segmentation system based on a combination of hessian matrix and area growth, which includes a retinal image preprocessing unit used to extract the green channel of the retinal image and enhance the extracted image to improve contrast; the image is processed through the hessian matrix Perform re-enhancement processing and pass the Hessian matrix enhancement unit of the blood vessel direction in the retinal image; perform morphological classification on the Hessian matrix enhanced image to extract connected domain classification units of small blood vessels; and perform region growth on the classified image to connect the images Regional growth unit that detects the broken blood vessel structure, thereby improving the segmentation effect and improving the segmentation results. This system can achieve blood vessel segmentation in retinal fundus images, and in order to solve the problem of break points in the segmentation results of the segmentation algorithm, the Hessian matrix is ​​combined with area growth, and an algorithm combining the two is proposed, which further improves the situation of blood vessel breaks in the extracted images. The accuracy of blood vessel segmentation is improved.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a retinal blood vessel segmentation system based on the combination of Hessian matrix and region growth. Background technique [0002] Retinal microvessels are the only ones in the human body that can directly observe deep microvessels without trauma, and changes in their state and structure can characterize the occurrence of various diseases including hypertension and diabetes. Therefore, the accurate segmentation of the fundus retinal vascular structure can be used to assist clinicians in the diagnosis and treatment of retinal diseases. Through the morphological analysis of retinal blood vessels, early diagnosis and prevention of some diseases are of great significance to the progress of clinical medicine. [0003] Due to the interference of factors such as uneven distribution of gray scale in retinal images, complex vascular structure, low contrast between tar...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/136G06T5/00
CPCG06T7/136G06T2207/20032G06T2207/30041G06T2207/30101G06T5/92
Inventor 佘黎煌王雅凡张石苏婷
Owner NORTHEASTERN UNIV LIAONING
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