Paper
11 December 1985 Integrated Optical Threshold Gates For Digital Image Processing
M. H. Hassoun, R. Arrathoon
Author Affiliations +
Proceedings Volume 0579, Intelligent Robots and Computer Vision IV; (1985) https://doi.org/10.1117/12.950808
Event: 1985 Cambridge Symposium, 1985, Cambridge, United States
Abstract
Low level processing or preprocessing is often the starting point in many computer vision systems. This stage is typically characterized as picture processing and uses gradients, edge templates, filters, thresholding, and other enhancement techniques. The next stage in computer vision commonly deals with the processed image, usually binary in nature, and extracts intrinsic features such as size, shape, boundary, orientation, moments, etc. A new class of multiple-valued integrated optical processors is proposed for the parallel implementation of selected preprocessing algorithms. The basic component of the multiple-valued processor is an integrated optical threshold gate.(1-3) The parallel processing algorithms required for both smoothing and boundary determination with an integrated optical thresholding array are described. One possible architecture for an optical parallel digital image processor is presented.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. H. Hassoun and R. Arrathoon "Integrated Optical Threshold Gates For Digital Image Processing", Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); https://doi.org/10.1117/12.950808
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Logic

Edge detection

Digital image processing

Integrated optics

Computer vision technology

Machine vision

RELATED CONTENT

Real-Time Feature Extraction Using Moment Invariants
Proceedings of SPIE (March 27 1987)
Graphical Operations In A Hierarchical Parallel Computer
Proceedings of SPIE (January 17 1985)
Fuzzy morphological filters
Proceedings of SPIE (November 01 1992)

Back to Top