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

机译:基于图像的非瞳孔视网膜成像的微聚焦算法的实现

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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:视网膜摄影对眼病评估很重要。精细聚焦图像的任务要求苛刻,缺乏焦点通常是次优照片的原因。数码相机的出现提供了自动化聚焦过程的机会。在这项工作中,我们提出了一种用于非瞳孔视网膜成像的自动对焦系统。系统的核心基于基于鲁棒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识别最佳焦点。

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