gabor和局部二值模式用于视网膜图像分析的研究

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI:10.1109/IWACI.2010.5585210

H. R. Tavakoli, H. Pourreza, S. R. Quchani

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引用次数: 4

摘要

本文研究了视网膜血管组织分割中合适特征的选择。不同的特征被提出用于视网膜血管检测。其中最著名的特征是Gabor小波。由于Gabor的多分辨率特性，可以使用组合尺度来提取特征。然而，特征向量中相似的特征会增加相互关联的可能性，无法得到合适的结果。

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Study of gabor and local binary patterns for retinal image analysis

In this paper selection of proper feature for retinal vascular tissue segmentation is studied. Different features have been proposed for retinal vessel detection. One of the most famous features adapted is Gabor wavelet. Due to multi resolution property of Gabor, combination of scales can be used to extract features. However, similar features in feature vector would increase the possibility of inter-correlation and not an apt result would be achieved.

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Third International Workshop on Advanced Computational Intelligence

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