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Computer Vision

The Data Exploitation Group’s scientists have accumulated a wealth of expertise in arenas related to computer vision including image & signal processing, visualization, machine learning, optimization, and pattern recognition.

Our scientists have expertise in many facets of image analysis including:

  • Mathematical Morphology
  • Statistical Image Processing
  • Fourier and Wavelet Analysis

Using these low-level paradigms, our researchers have developed and implemented algorithms in previous projects crucial for computer vision tasks such as:

  • Preprocessing, Calibration, Normalization, and Enhancement
  • Feature Extraction
  • Measuring of Image Attributes (Texture, Shape, Color, etc.)
  • Registration and Mosaicking
  • Segmentation and Thresholding
  • Object Detection, Classification and Recognition
  • Target Tracking
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These algorithms have been developed for a broad array of imaging modalities from many arenas, including:

  • 3D laser range and reflectance
  • Multispectral imagery (Thematic Mapper [TM], LandSAT, and Spot)
  • Synthetic Aperture Radar (SAR) imagery
  • Stereo pair imagery


  • Light microscopy
  • Electron micrographs (EM, STEM)
  • Confocal microscopy
  • Computed Tomography (CT)
  • Magnetic Resonance Imagery (MRI)
  • Scanned Documents


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