Main Page | See live article | Alphabetical index

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)