Eye fundus image enhancement method and system

Abstract

The invention relates to an eye fundus image enhancement method and system. The method comprises the steps: constructing a blood vessel dictionary through an eye fundus learning image; carrying out the Frangi filtering of a to-be-enhanced eye fundus image, dividing blood vessels in a second subimage block into thick blood vessels and fine and fragile blood vessels through direction filtering, and setting the residual error weight and residual error threshold value of a blood vessel region according to the above; solving the inner products of the second subimage block with all first subimage blocks in the dictionary, selecting the first subimage block with the biggest inner product, and calculating the corresponding sparse coefficient of the first subimage block; calculating a residual error image through the selected first subimage block and the second subimage block, calculating the residual error of the blood vessel region in the second subimage block through the residual error weight of the blood vessel region, setting the residual error image as the second subimage block if the residual error is greater than the residual error threshold value, and repeatedly carrying out the process of selecting the first subimage block and calculating the residual error; reconstructing the second subimage blocks through the sparse coefficient, recombining the reconstructed second subimage blocks, and obtaining an enhanced eye fundus image. The method effectively inhibit the background noise, and keeps the fine and fragile blood vessels.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a fundus image enhancement method and system. Background technique [0002] Eye imaging is an important means of medical auxiliary diagnosis and treatment. Many eye diseases can be directly or indirectly judged by analyzing the images of blood vessels in the eye. In the eye image, there are various eye blood vessels of different thicknesses. By enhancing these blood vessels, a clearer and more accurate eye blood vessel image can be obtained, which is helpful for assisting clinical diagnosis. [0003] There are many methods of fundus image enhancement, and the commonly used methods are: [0004] domain smoothing method. That is, the gray value of a certain pixel and its neighboring pixels in the image is used as the gray value of the pixel. The advantage of this method is that it is simple, but the disadvantage is that it will blur the image of blood vessels in the eye...

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention is to provide a fundus image enhancement method and system, which aims to solve the problem that the fundus image enhancement method in the prior art cannot better preserve thin blood vessels while enhancing fundus blood vessels

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