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Image segmentation blood vessel of retinal using conventional filters, Gabor Transform and skeletonization

机译:使用常规滤镜,Gabor变换和骨架化对视网膜图像进行血管分割

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This paper implements a digital algorithm that allows the segmentation and skeletonization of digital images, this method is very important in the processing of retinographies images, where of analysis inside of the eye enables early detection of diseases such as Diabetic Retinopathy. The algorithm implemented using the Fourier transforms and Gabor Transform two-dimensional and conventional filters. The performance of algorithm under mathematical platform the Matlab implemented has been compared with conventional methods obtaining resulting filtered images with better contrast and higher resolution.
机译:本文实现了一种允许对数字图像进行分割和骨架化的数字算法,该方法在视网膜图像处理中非常重要,在眼内分析可以早期发现糖尿病性视网膜病变等疾病。该算法使用傅立叶变换和Gabor变换实现二维和常规滤波器。 Matlab在数学平台下实现的算法性能已与常规方法进行了比较,常规方法获得了具有更好对比度和更高分辨率的滤波图像。

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