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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 52, Iss. 10 — Apr. 1, 2013
  • pp: D64–D74

Adaptive method of dim small object detection with heavy clutter

Wei Meng, Tao Jin, and Xinwei Zhao  »View Author Affiliations

Applied Optics, Vol. 52, Issue 10, pp. D64-D74 (2013)

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This paper investigates an adaptive method of dim small target detection in infrared images with a complex background. We analyze in depth the characteristics of the background, the target, and the noise in the gray intensity, space and frequency domain of the images. The modified top-hat transformation using interrelated structuring elements is adopted to adaptively detect the darker and the brighter targets and greatly suppress the cluttered background. Lateral pattern inhibition enhances the local contrast ratio and simultaneously identifies the targets of interest. The automatic threshold is used to enhance real dim targets in the cluttered background. A simulation based on the proposed algorithm is carried out and the results prove that the algorithm is effective and valid.

© 2013 Optical Society of America

OCIS Codes
(100.2960) Image processing : Image analysis
(100.2980) Image processing : Image enhancement
(100.5010) Image processing : Pattern recognition
(100.3008) Image processing : Image recognition, algorithms and filters

Original Manuscript: November 6, 2012
Revised Manuscript: March 6, 2013
Manuscript Accepted: March 6, 2013
Published: March 25, 2013

Wei Meng, Tao Jin, and Xinwei Zhao, "Adaptive method of dim small object detection with heavy clutter," Appl. Opt. 52, D64-D74 (2013)

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