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Simulation of neural contour mechanisms: from simple to end-stopped cells

Friedrich Heitger, Lukas Rosenthaler, Rüdiger Von Der Heydt, Esther Peterhans, Olaf Kübler
Vision Research
Vol. 32, No. 5, pp. 963–981, May 1992

Abstract

Early stages of visual form processing were modelled by simulating cortical simple, complex and end-stopped cells. The computation involves (1) convolution of the image with even and odd symmetrical orientation selective filters (S-operators), (2) combination of even and odd filter outputs to a local energy measure (C-operator), (3) “differentiation” of the C-operator maps along the respective orientation (single and double end-stopped operators) and (4) determination of local maxima (“key-points”) of the combined end-stopped operator activity. While S- and C-operators are optimised for the representation of 1-D features such as edges and lines, the end-stopped operator responses at the key-points make explicit 2-D signal variations such as line ends, corners and segments of strong curvature. The theoretical need for this complementary representation is discussed. The model was tested on grey-valued images.


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@Article{eth_biwi_00917,
  author = { Friedrich Heitger and Lukas Rosenthaler and R\"udiger Von Der Heydt and Esther Peterhans and Olaf K\"ubler},
  title = {Simulation of neural contour mechanisms: from simple to end-stopped cells},
  journal = {Vision Research},
  year = {1992},
  month = {May},
  pages = {963–981},
  volume = {32},
  number = {5},
  keywords = { Simple cells; Complex cells; End-stopped cells; Computational model; Contour; Early vision}
}