REAL-TIME SEGMENTATION TECHNOLOGY OF MAN-MADE INFRARED OBJECT BASED ON NORMALIZED CUTS

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Journals >Journal of Infrared and Millimeter Waves >Volume 24 >Issue 2 >Page 114 > Article

Journal of Infrared and Millimeter Waves
Vol. 24, Issue 2, 114 (2005)

REAL-TIME SEGMENTATION TECHNOLOGY OF MAN-MADE INFRARED OBJECT BASED ON NORMALIZED CUTS

[in Chinese]^1、2, [in Chinese]¹, [in Chinese]², and [in Chinese]³

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¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. REAL-TIME SEGMENTATION TECHNOLOGY OF MAN-MADE INFRARED OBJECT BASED ON NORMALIZED CUTS[J]. Journal of Infrared and Millimeter Waves, 2005, 24(2): 114 Copy Citation Text

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References

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[2] KAPUR J N, SHHOO P K, WONG A K C. A new method for gray-level picture thresholding using the entropy of the histogram [J]. Computer Vision Graphics Image Processing, 1985,29:273-285.

[4] TAO Wen-Bing, TIAN Jin-Wen, LIU Jian. Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm [J]. Pattern Recognition Letters, 2003,24(16):3069-3078.

[7] WU Z, LEAHY R. An optimal graph theoretic approach to data clustering:theory and its aplication to image segmentation [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1993,15(11):1101-1113.

[8] SHI J, MALIK J. Motion segmentation and tracking using normalized cuts [C]. Proc. Int'l Conf. Computer Vision, 1998,1154-1160.

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