@misc{cogprints504, editor = {A. Germond and M. Hasler and J. Nicoud}, title = {Corner detection in color images by multiscale combination of end-stopped cortical cells.}, author = {R.P. W{\"u}rtz and T. Lourens}, publisher = {Springer}, year = {1997}, pages = {901--906}, keywords = {corner detection, end-stopped cells, color image, multiscale methods}, url = {http://cogprints.org/504/}, abstract = {We present a corner-detection algorithm based on a model for end-stopping cells in the visual cortex. Shortcomings of this model are overcome by a combination over several scales. The notion of an end-stopped cell and the resulting corner detector is generalized to color channels in a biologically plausible way. The resulting corner detection method yields good results in the presence of high frequency texture, noise, varying contrast, and rounded corners. This compares favorably with known corner detectors.} }