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Feature extraction
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 -- Area based, differntial approach. Optical flow.
SHAPE BASED Thresholding
Template matching
Hough transform -- Lines Circles/Ellipses Arbitrary shapes (Generalized Hough Transform)
FLEXIBLE METHODS -- Deformable, parameterized shapes Active contours (snakes)
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