糖尿病性视网膜病变眼底图像微脉瘤检测

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1、湘潭大学硕士论文3.3.2多尺度和多滞后阈值血管提取..........................................................263.4非微脉瘤病变对象去除................................................................................273.4.1血管排除的形状分析..........................................................................273.4.2非微脉瘤噪声点去除....

2、......................................................................283.5算法实现........................................................................................................283.6实验结果分析...............................................................................................

3、.293.7本章小结........................................................................................................31第4章多尺度匹配滤波和集成学习的眼底图像微脉瘤检测................................334.1非均匀照度归一化........................................................................................334.2多尺度匹配滤波对微脉

4、瘤的检测.................................................................344.3疑似病变对象区域定位与分割....................................................................364.3.1阈值分割..............................................................................................364.3.2区域生长..................

5、............................................................................384.3.3候选微脉瘤区域特征提取..................................................................394.4Adaboost神经网络集成分类器设计...........................................................394.5实验结果分析...................................

6、.............................................................414.6本章小结........................................................................................................43第5章总结与展望....................................................................................................445.1

7、总结................................................................................................................445.2展望................................................................................................................44参考文献...........................