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Morphological image compositing.

Pierre Soille1

  • 1Joint Research Center of the European Commission, Ispra, Italy. Pierre.Soille@jrc.it

IEEE Transactions on Pattern Analysis and Machine Intelligence
|April 28, 2006
PubMed
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This study introduces a novel image compositing method using mathematical morphology to seamlessly blend images. The technique places seams along image structures, reducing visibility and minimizing artifacts like cloud cover in satellite imagery.

Area of Science:

  • Computer Vision
  • Image Processing
  • Remote Sensing

Background:

  • Image mosaicking combines multiple images into a single mosaic.
  • Image compositing selects unique pixel values where images overlap.
  • Current methods may struggle with visible seams or transient objects.

Purpose of the Study:

  • To propose a novel image compositing procedure.
  • To minimize the visibility of seams in image mosaics.
  • To seamlessly remove transient objects in overlapping image regions.

Main Methods:

  • Utilizing mathematical morphology and marker-controlled segmentation.
  • Developing a selection rule for unique pixel values in overlapping areas.
  • Applying the methodology to satellite image composition, focusing on cloud cover minimization.

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Main Results:

  • Demonstrated seam placement along salient image structures.
  • Reduced seam visibility without radiometric corrections or blending.
  • Successfully minimized transient objects in overlapping regions.
  • Illustrated effectiveness in satellite image mosaicking with cloud cover.

Conclusions:

  • The proposed mathematical morphology-based compositing method effectively reduces seam visibility.
  • The technique seamlessly handles transient objects in overlapping image areas.
  • This approach offers an efficient solution for satellite image composition, particularly for minimizing cloud cover.