An algorithm of adaptive fuzzy enhancement of infrared image sequence for low SNR

Caicheng Shi; Baojun Zhao; Yueqiu Han; Erke Mao

An algorithm of adaptive fuzzy enhancement of infrared image sequence for low SNR

Caicheng Shi^*, Baojun Zhao, Yueqiu Han, Erke Mao

^*此作品的通讯作者

医学技术学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

The background suppression and SNR improvement are important in the detection and tracking of point and spot targets of infrared (IR) image sequence. Because of spatial-temporal correlation, complexity and fuzziness, an algorithm of adaptive fuzzy enhancement of IR image sequence based on fuzzy theory and adaptive technology is presented in this paper. The algorithm can effectively suppress background clutter and increase SNR. The experimental results show the algorithm is very effective.

源语言	英语
页（从-至）	289-291
页数	3
期刊	Chinese Journal of Electronics
卷	11
期	2
出版状态	已出版 - 4月 2002

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Shi, C., Zhao, B., Han, Y., & Mao, E. (2002). An algorithm of adaptive fuzzy enhancement of infrared image sequence for low SNR. Chinese Journal of Electronics, 11(2), 289-291.

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abstract = "The background suppression and SNR improvement are important in the detection and tracking of point and spot targets of infrared (IR) image sequence. Because of spatial-temporal correlation, complexity and fuzziness, an algorithm of adaptive fuzzy enhancement of IR image sequence based on fuzzy theory and adaptive technology is presented in this paper. The algorithm can effectively suppress background clutter and increase SNR. The experimental results show the algorithm is very effective.",

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N2 - The background suppression and SNR improvement are important in the detection and tracking of point and spot targets of infrared (IR) image sequence. Because of spatial-temporal correlation, complexity and fuzziness, an algorithm of adaptive fuzzy enhancement of IR image sequence based on fuzzy theory and adaptive technology is presented in this paper. The algorithm can effectively suppress background clutter and increase SNR. The experimental results show the algorithm is very effective.

AB - The background suppression and SNR improvement are important in the detection and tracking of point and spot targets of infrared (IR) image sequence. Because of spatial-temporal correlation, complexity and fuzziness, an algorithm of adaptive fuzzy enhancement of IR image sequence based on fuzzy theory and adaptive technology is presented in this paper. The algorithm can effectively suppress background clutter and increase SNR. The experimental results show the algorithm is very effective.

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KW - Fuzzy controller

KW - Image enhancement

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An algorithm of adaptive fuzzy enhancement of infrared image sequence for low SNR

摘要

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