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Illumination correction of retinal images using Laplace interpolation

机译:使用拉普拉斯插值法校正视网膜图像

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Retinal images are frequently corrupted by unwanted variations in intensity that occur due to general imperfections in the image acquisition process. This inhomogeneous illumination across the retina can limit the useful information accessible within the acquired image. Specifically, this can lead to serious difficulties when performing image processing tasks requiring quantitative analysis of features present on the retina. Given that the spatial frequency content of the shading profile often overlaps with that of retinal features, retrospectively correcting for inhomogeneous illumination while maintaining the radiometric fidelity of the real data can be challenging. This paper describes a simple method for obtaining an estimate of the illumination profile in retinal images, with the particular goal of minimizing its influence upon features of interest. This is achieved by making use of Laplace interpolation and a multiplicative image formation model.
机译:视网膜图像经常由于图像采集过程中的一般缺陷而由于不希望的强度变化而损坏。整个视网膜的这种不均匀照明会限制所获取图像中可访问的有用信息。具体而言,这在执行需要对视网膜上存在的特征进行定量分析的图像处理任务时会导致严重的困难。鉴于阴影轮廓的空间频率内容经常与视网膜特征重叠,因此要在保持真实数据的辐射保真度的同时进行不均匀照明的回顾性校正可能是具有挑战性的。本文介绍了一种用于获得视网膜图像中照明轮廓估计值的简单方法,其特定目标是将其对感兴趣特征的影响最小化。这是通过使用拉普拉斯插值法和乘法图像形成模型来实现的。

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