title: On the extraction and alignment of image edges.
abstract: In this paper the types of image filtering, segmentation and correlational processes which are consistent with the ability of human observers to align edges in arbitrary two-dimensional images are considered. Edge-only versions of a number of images were computed by pre-filtering, segmenting and using laplacians to extract luminance boundaries. The matching of such edge-only images with the originals seems well predicted by a (derivative) matched filtering (cross-correlation) process showing some bias toward edges contained within the middle frequency range of the images used.
authors.affiliation: Department of Psychology, University of Alberta, Edmonton, Canada.
authors.forename: T
authors.initials: T
authors.lastname: Caelli
authors.forename: J
authors.initials: J
authors.lastname: Yuzyk
mesh_terms: D005556:Form Perception; D006801:Humans; D008027:Light; D008433:Mathematics; D010364:Pattern Recognition, Visual / Q000502:physiology; D014792:Visual Acuity; D014796:Visual Perception / Q000502:physiology*