论文标题
黄斑自动检测视网膜图像的快速有效方法
A Fast and Effective Method of Macula Automatic Detection for Retina Images
论文作者
论文摘要
视网膜图像处理是医学图像处理的关键和流行主题之一。黄斑叶状动植物负责敏锐的中央视觉，这对于视觉细节至关重要的人类行为是必不可少的，例如阅读，写作，驾驶等。本文提出了一种新颖的方法，通过一系列形态学处理来定位黄斑。在保持高精度的前提下，我们的方法比其他方法更简单，更快。此外，对于医院的真实图像，我们的方法也能够稳健地检测到黄斑。
Retina image processing is one of the crucial and popular topics of medical image processing. The macula fovea is responsible for sharp central vision, which is necessary for human behaviors where visual detail is of primary importance, such as reading, writing, driving, etc. This paper proposes a novel method to locate the macula through a series of morphological processing. On the premise of maintaining high accuracy, our approach is simpler and faster than others. Furthermore, for the hospital's real images, our method is also able to detect the macula robustly.
