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Implementation of an image based focusing algorithm for non-mydriatic retinal imaging

机译:基于图像的非散瞳视网膜成像聚焦算法的实现

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Retinal photography is important for the assessment of eye diseases. The task of fine focusing the image is demanding and lack of focus is often the cause of suboptimal photographs. The advent of digital cameras has provided the opportunity to automate the focusing process. In this work, we propose an auto-focus system for non-mydriatic retinal imaging. The core of the system is based on a robust image-based focus measure. The measure is basically a quantification of image anisotropy computed by means of the normalized discrete cosine transform. Additionally, we optimize the autofocusing method by evaluating different focus search strategies. Encouraging experimental results reveal that the method is able to identify the best focus reliably with optimal speed.
机译:视网膜摄影对评估眼疾很重要。对图像进行精细聚焦的任务非常艰巨,而缺乏聚焦通常是导致照片效果欠佳的原因。数码相机的出现提供了自动对焦过程的机会。在这项工作中,我们提出了一种用于非散瞳视网膜成像的自动聚焦系统。该系统的核心基于强大的基于图像的焦点测量。该措施基本上是通过归一化离散余弦变换计算出的图像各向异性的量化。此外,我们通过评估不同的焦点搜索策略来优化自动聚焦方法。令人鼓舞的实验结果表明,该方法能够以最佳速度可靠地确定最佳焦点。

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