| 1. | Extracting blood vessels in retinal images by adaptive thresholding
一种视网膜血管自适应提取方法 |
| 2. | It is known that visual percepts tend to fade when retinal image motion is eliminated in the laboratory
实验室研究已知，当清除视网膜影像运动后，视觉印象会消退。 |
| 3. | The retinal image registration system software has the advantages of modular structure and common user interface , thereby assuring the system expanded well
所实现的视网膜图像自动配准系统，只有模块化结构和通用一致的用户接口，保证了系统具有良好的可扩充性。 |
| 4. | Using a new method of retinal image stabilization , we selectively eliminated the motion of the retinal image that normally occurs during the intersaccadic intervals of visual fixation
采用一种新的视网膜影像稳定技术，我们选择性消除通常凝视时跳跃发生的视网膜影像运动。 |
| 5. | The retinal image segmentation , the feature points of blood vessel extraction , the feature correspondency , the transformation model of retinal image and the registration parameter optimizing methods are all the main facts studied in the paper
主要研究内容包括视网膜图像血管网络的分割、血管特征点的提取、特征对应性、变换模型以及参数优化等方面。 |
| 6. | Secondly such works as vessel detection and extraction of bifurcation points are made . finally , a fully automatic hierarchical method of retinal image registration based on the geometrical and anatomic feature extraction is proposed in this paper
实验表明：该方法具有精度高、速度快、鲁棒性强等特点，是一种高西安理工大学硕士学位论文效的全自动配准方法。 |
| 7. | The aim of medical image registration is to align the corresponding point in two medical images . then image fusion technique can be used , and a new containing all medical information of both images can be provided to doctor , through which medical information in different modality can reinforce each other . retinal image registration is often required in clinic surgery and laser therapy in order to provide ophthalmologists with new element of diagnosis and surgery planning
医学图像配准技术能够将一幅医学图像与另一幅医学图像上对应点达到空间上的一致，从而把各种成像模态的医学图像信息融合成一种新的影像模式展现给临床医生，因而能解决上述医学上的难题，使各种成像设备在信息表达上达到优势互补的目的。 |
| 8. | Using the way combining the mathematic morphology top - hat and gauss matched filtering can effectively reduce the influence of the inherent fovea and the marginal noise brought forth by the retinal camera caliber in retinal image and increase the precision of retinal image segmentation and feature point extraction
文中提出了采用灰度数学形态学中的top - hat变换和高斯匹配滤波相结合的方法，用来有效的降低视网膜荧光图像中固有的小窝现象及眼底照相机的口径所引起的视网膜图像边界像素噪声，极大的提高了图像分割及特征提取的精度。 |
| 9. | Considering the number of the feature points extracted in different images is not equal and their locations are also not corresponding , the scheme presents the closest interval criterion and the svd algorithm to accurately register the retinal images . in order to meet the practical requirements of image registration precision and speed , the paper describes the maximal correlation objective function and uses the simplex - simulated annealing algorithm to optimize the parameter
在基于特征对应性图像配准算法中，利用多方向探测方法准确提取了视网膜图像中的血管交叉点和分枝点，对于提取得到的配准及参考图像特征点之间非对应性且数目不等这一配准算法中不可避免的问题，本文提出了距离最近标准和svd分解方法，有效的解决了这一问题。 |
