Share Email Print

Optical Engineering

Optical implementation of a connectionist model of Hough transform
Author(s): Mausumi Seth; Asit K. Datta
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A two-layer neural network connectionist model of the Hough transform (HT) is proposed for the detection of lines in image space. The model is implemented in the optical domain via an optical matrix-vector multiplication technique where interconnection weights of the neural network are binary and are adjusted according to the line parameters. The dimension of the weight matrix depends only on the dimensions of the image and parameter space and no further dynamic updatings of weights are required for a particular dimensions of image and parameter space adjustment. The peak strength of a neuron in the parameter or Hough space is detected by a winner-take-all optoelectronic circuit. Experimental results are presented.

Paper Details

Date Published: 1 June 1996
PDF: 6 pages
Opt. Eng. 35(6) doi: 10.1117/1.600751
Published in: Optical Engineering Volume 35, Issue 6
Show Author Affiliations
Mausumi Seth, Calcutta Univ. (India)
Asit K. Datta, Calcutta Univ. (India)

© SPIE. Terms of Use
Back to Top