DATA_PROCESSING

Signal and image processing techniques may be utilized to perform a useful function on the data, such as noise reduction techniques, object detection, image and signal enhancement and more.

• Image Analysis Techniques
  • Image filtering (denoising, edge-detection, enhancement, etc.)
  • Segmentation
  • Registration
  • Automated object identification and detection
  • Colour image processing
  • General image processing algorithms

• Signal Analysis Techniques
  • Signal filtering
  • Denoising
  • Landmark identification
  • Other digital signal processing (DSP) algorithms

• High-Level Data Analysis Techniques for Signals and Images
  • Pattern recognition techniques (LDA, PCA, etc.)
  • Feature extraction
  • Time-frequency transformations (wavelet, Gabor, Wigner-Ville, etc.)
  • Texture analysis (multiresolutional-, spatial- or frequency-based)
  • Histogram analysis (statistics)

Color image enhancement. Image on left: original image, image on right: enhanced image.