Approach to linear feature extraction for infrared image

被引:0
|
作者
Li, TJ [1 ]
Wang, YL [1 ]
Chen, Z [1 ]
Wang, RX [1 ]
机构
[1] Beijing Univ Aeronaut & Astronaut, Beijing 100083, Peoples R China
关键词
linear feature extraction; infrared image; least squares estimation; fuzzy feature transformation; gradient profile maximum;
D O I
10.1117/12.445738
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, an approach to linear feature extraction for infrared image is presented, which consists of three major modules: image preprocessing by using fuzzy feature transformation and fuzzy enhancement, edge strength map and direction map generation by using low pass filter and multi-dimension edge detector and linear feature extraction by using gradient profile maximum method. Comparison with some other edge detection methods, accuracy and robust experiments are done to testify its better position accuracy and reliability. Computational simulation and experiment results show that the proposed algorithm can solve the linear feature extraction problem for infrared image.
引用
收藏
页码:254 / 259
页数:6
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