From filters to features: location, orientation, contrast and blur.

  title={From filters to features: location, orientation, contrast and blur.},
  author={Mark A. Georgeson},
  journal={Ciba Foundation symposium},
  pages={147-65; discussion 165-9, 269-71}
Consider three main ideas about spatial filtering and feature coding in human spatial vision. (1) Computational theory: the representation of local luminance features--bars and edges--is a crucial step in human vision, forming the basis for many decisions in pattern discrimination. (2) Algorithm: features may be located and characterized in terms of polarity, blur and contrast by comparison of 1st, 2nd and 3rd spatial derivatives taken at a common point. Edges in compound (f + 3f) gratings are… CONTINUE READING
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