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Abstract:
针对传统的基于特征的眼底图像配准方法配准精度不高的问题,提出了一种新的眼底图像配准方法.通过具有仿射不变性的尺度不变特征变换(Scale Invariance Feature Transform,SIFT)方法提取待配准图像的特征点匹配对.采用适合眼底图像特点的曲面变换模型,实现图像的配准,变换模型参数通过M估计获得.实验结果表明,该算法提高了配准精度,对正常眼和非正常眼的眼底图像配准都是有效的.
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计算机工程与应用
ISSN: 1002-8331
CN: 11-2127/TP
Year: 2011
Issue: 4
Volume: 47
Page: 198-200,204
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count: -1
Chinese Cited Count:
30 Days PV: 3
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