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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 8, Iss. 1 — Jan. 1, 2010
  • pp: 24–28

Infrared small target detection based on modified local entropy and EMD

He Deng, Jianguo Liu, and Zhong Chen  »View Author Affiliations

Chinese Optics Letters, Vol. 8, Issue 1, pp. 24-28 (2010)

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Image entropy and empirical mode decomposition (EMD) are effective methods for target detection. EMD algorithm is a powerful tool for adaptive multiscale analysis of nonstationary signals. A new technique based on EMD and modified local entropy is proposed in small target detection under sea-sky background. With the EMD algorithm, it is valid to estimate the background and get the target image by removing the background from the original image and segmenting the target based on the modified local entropy method. The data analysis and experiments show the validity of the proposed algorithm.

© 2010 Chinese Optics Letters

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.3008) Image processing : Image recognition, algorithms and filters

He Deng, Jianguo Liu, and Zhong Chen, "Infrared small target detection based on modified local entropy and EMD," Chin. Opt. Lett. 8, 24-28 (2010)

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