论文标题
通过探测自适应照明变化来进行视网膜血管分割
Retinal vessel segmentation by probing adaptive to lighting variations
论文作者
论文摘要
我们介绍了一种新颖的方法来提取眼睛趣味图像中的血管，以适应照明变化。在对数图像处理框架中，3段探针通过从下面探测图像的地形表面来检测容器。探针和图像之间的对比度图允许通过阈值检测容器。在低鲜明的图像中，结果表明，我们的方法比其他最先进的方法更好地提取血管。在带有参考的高度对比图像数据库（驱动器）中，我们的精度为0.9454，比三种最先进的方法相似或更好。这三种最佳方法的精度比另一个专家的手动细分更高。重要的是，我们的方法会自动适应图像采集的照明条件。
We introduce a novel method to extract the vessels in eye fun-dus images which is adaptive to lighting variations. In the Logarithmic Image Processing framework, a 3-segment probe detects the vessels by probing the topographic surface of an image from below. A map of contrasts between the probe and the image allows to detect the vessels by a threshold. In a lowly contrasted image, results show that our method better extract the vessels than another state-of the-art method. In a highly contrasted image database (DRIVE) with a reference , ours has an accuracy of 0.9454 which is similar or better than three state-of-the-art methods and below three others. The three best methods have a higher accuracy than a manual segmentation by another expert. Importantly, our method automatically adapts to the lighting conditions of the image acquisition.
