Prototyping a parallel vision system in Standard ML
- 1 January 1995
- journal article
- research article
- Published by Cambridge University Press (CUP) in Journal of Functional Programming
- Vol. 5 (3) , 345-382
- https://doi.org/10.1017/s0956796800001398
Abstract
The construction of a parallel vision system from Standard ML prototypes is presented. The system recognises 3D objects from 2D scenes through edge detection, grouping of edges into straight lines and line junction based model matching. Functional prototyping for parallelism is illustrated through the development of the straight line detection component. The assemblage of the whole system from prototyped components is then considered and its performance discussed.Keywords
This publication has 12 references indexed in Scilit:
- Which Hough Transform?CVGIP: Image Understanding, 1993
- Parallel algorithms for plane detection using an adaptive Hough transformImage and Vision Computing, 1991
- Recognition of 3-D objects in range images using a butterfly multiprocessorPattern Recognition, 1989
- A parallel algorithm for determining two-dimensional object positions using incomplete information about their boundariesPattern Recognition, 1989
- Hough transform algorithms for mesh-connected SIMD parallel processorsComputer Vision, Graphics, and Image Processing, 1988
- GRIP — a high-performance architecture for parallel graph reductionPublished by Springer Nature ,1987
- A Computational Approach to Edge DetectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986
- Generalizing the Hough transform to detect arbitrary shapesPattern Recognition, 1981
- Locating straight-line edge segments on outdoor scenesPattern Recognition, 1978
- The Mechanical Evaluation of ExpressionsThe Computer Journal, 1964