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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 48, Iss. 20 — Jul. 10, 2009
  • pp: 3967–3978

Approach to nonparametric cooperative multiband segmentation with adaptive threshold

Imane Sebari and Dong-Chen He  »View Author Affiliations

Applied Optics, Vol. 48, Issue 20, pp. 3967-3978 (2009)

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We present a new nonparametric cooperative approach to multiband image segmentation. It is based on cooperation between region-growing segmentation and edge segmentation. This approach requires no input data other than the images to be processed. It uses a spectral homogeneity criterion whose threshold is determined automatically. The threshold is adaptive and varies depending on the objects to be segmented. Applying this new approach to very high resolution satellite imagery has yielded satisfactory results. The approach demonstrated its performance on images of varied complexity and was able to detect objects of great spatial and spectral heterogeneity.

© 2009 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(280.4991) Remote sensing and sensors : Passive remote sensing

ToC Category:
Image Processing

Original Manuscript: January 6, 2009
Revised Manuscript: June 1, 2009
Manuscript Accepted: June 3, 2009
Published: July 6, 2009

Imane Sebari and Dong-Chen He, "Approach to nonparametric cooperative multiband segmentation with adaptive threshold," Appl. Opt. 48, 3967-3978 (2009)

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