Design of a low-pass filter by multi-scale even order Gaussian derivatives
Signal Processing - Special section: Multimodal human-computer interfaces
Image and Vision Computing
Gradient histogram: Thresholding in a region of interest for edge detection
Image and Vision Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
Early vision and image processing: evidences favouring a dynamic receptive field model
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
An image representation method based on retina mechanism for the promotion of SIFT and segmentation
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Information Sciences: an International Journal
Hi-index | 0.00 |
The extended classical receptive field (ECRF) of retinal ganglion cells has been modelled as a combination of three zero-mean Gaussians at three different scales that has been shown to be equivalent to a Biharmonic or Bi-Laplacian of Gaussian filter. It has also been shown that the ECRF can be approximated by a combination of Laplacian of Gaussian (LoG) and the Dirac-delta function. Zero-crossings detected with this operator are more informative than those detected by the traditional filters like LoG or Difference of Gaussians (DoG) that had been devised using the classical receptive field of the ganglion cells. We have also explained that such an additional information processing is not in contradiction with the recent experimental findings on the physiology of retinal ganglion cells.