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Automatic eyeground image blood vessel segmentation method based on Gabor filters

A fundus image, automatic segmentation technology, applied in the field of medical image processing, can solve the problems of noise pollution, low contrast between fundus image blood vessels and background, difficult to realize automation, etc., to achieve the effect of automatic selection

Inactive Publication Date: 2016-01-20
BEIJING UNIV OF TECH
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Problems solved by technology

[0004] However, due to the relatively low contrast between blood vessels and the background in fundus images, especially when medical imaging is polluted by noise, there are still certain difficulties in the analysis and diagnosis of fundus images, and it is difficult to automate

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  • Automatic eyeground image blood vessel segmentation method based on Gabor filters
  • Automatic eyeground image blood vessel segmentation method based on Gabor filters
  • Automatic eyeground image blood vessel segmentation method based on Gabor filters

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Embodiment Construction

[0025] Step 1, read the original image, such as figure 1 , respectively obtain the red (R), green (G), and blue (B) channel images of the original image, and select the green channel with the strongest blood vessel contrast among the three channel images as the input image for subsequent processing, such as figure 2 .

[0026] Step 2, Gabor filter is a linear filter for edge detection. In the spatial domain, a two-dimensional Gabor filter has the characteristics of achieving optimal localization in both the spatial domain and the frequency domain, which is very similar to the human biological visual characteristics, so it can well describe the corresponding spatial frequency (scale), spatial position and direction-selective local structure information. Gabor filters are self-similar, that is, all Gabor filters can be generated from a mother wavelet through dilation and rotation. In practical applications, the Gabor filter can extract relevant features in different scales a...

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Abstract

The invention relates to an automatic eyeground image blood vessel segmentation method based on Gabor filters. The method comprises steps that, as a segmentation result is guaranteed to be valid, the direction of the filter is effectively reduced, automatic selection for filter parameters and a threshold is realized, a green channel image having the optimum blood vessel contrast is firstly selected before a pre-processing stage, an eyeground image blood vessel edge is roughly extracted by utilizing 20 Gabor filters having different angles, the largest response of the filters is taken as the rough positioning position of a blood vessel, during filter parameter selection, the optimized ICA algorithm is introduced to realize automatic parameter selection, during binary threshold selection, on the basis of largest accuracy principle, automatic threshold selection is realized, and an image mask acquired through morphological processing is utilized to remove a false positive area of the segmentation edge to acquire the final blood vessel segmentation result.

Description

technical field [0001] The invention belongs to the field of medical image processing and relates to a Gabor filter-based automatic blood vessel segmentation algorithm for fundus images. The algorithm ensures the effectiveness of segmentation results while realizing fully automatic segmentation. Background technique [0002] Fundus blood vessels are the only deep microvessels in the human body that can be observed non-invasively. The structural changes such as diameter, curvature and color can reflect the clinical and pathological characteristics of human hypertension, diabetes and atherosclerosis. Due to the large diameter variation range of eye blood vessels and the complicated direction of blood vessels, it is relatively difficult to segment artificial blood vessels. The establishment of an ocular blood vessel analysis and diagnosis platform through a computer-aided operating system will help improve the level of clinical diagnosis. Fundus digital photography provides a c...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T2207/30041
Inventor 杨春兰法尔纳兹段彦华吴水才刘冰
Owner BEIJING UNIV OF TECH
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