An Analog VLSI Chip for Finding Edges from Zero-Crossings
Abstract
We have designed and tested a one-dimensional 64 pixel, analog CMOS VLSI chip which localizes intensity edges in real-time. This device exploits on-chip photoreceptors and the natural filtering properties of resistive net(cid:173) works to implement a scheme similar to and motivated by the Difference of Gaussians (DOG) operator proposed by Marr and Hildreth (1980). Our chip computes the zero-crossings associated with the difference of two ex(cid:173) ponential weighting functions. If the derivative across this zero-crossing is above a threshold, an edge is reported. Simulations indicate that this technique will extend well to two dimensions.
Cite
Text
Bair and Koch. "An Analog VLSI Chip for Finding Edges from Zero-Crossings." Neural Information Processing Systems, 1990.Markdown
[Bair and Koch. "An Analog VLSI Chip for Finding Edges from Zero-Crossings." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/bair1990neurips-analog/)BibTeX
@inproceedings{bair1990neurips-analog,
title = {{An Analog VLSI Chip for Finding Edges from Zero-Crossings}},
author = {Bair, Wyeth and Koch, Christof},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {399-405},
url = {https://mlanthology.org/neurips/1990/bair1990neurips-analog/}
}