Feature extraction

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Feature extraction is an area of image processing which involves using algorithms to detect and isolate various desired portions of a digitized image or video stream.

The following is just a list of subject headings to be filled in later

  • Template operations & Fourier Transforms


Low-level

Edge detection

  • 1st order: Prewitt, Sobel, Canny, Spacek
  • 2nd Order: Laplacian, Marr-Hildreth

Curvature

  • Edge direction, changing intensity, autocorrelation

Image motion

Shape Based

Thresholding

Template matching

  • Lines
  • Circles/Ellipses
  • Arbitrary shapes (Generalized Hough Transform)

Flexible methods

  • Deformable, parameterized shapes
  • Active contours (snakes)