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Proceedings Paper

A Parallel Threshold Selection Algorithm
Author(s): J. Illingworth; J. Kittler
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Paper Abstract

The RATS algorithm is a gray level threshold selection method which uses simple image statistics consisting of sums of products of gray level and gradient information accummulated over appropriate image areas. The method calculates a threshold in a very direct manner and avoids the often unreliable analysis of a gray level histogram. The contribution of individual pixels are largely local and independent and the method is therefore particularly well suited for implementation on a parallel hierarchic processor array such as a quadtree pyramid. Simple control strategies can be devised to select the most appropriate thresholds for individual pixels from thresholds at a series of different spatial scales. In this paper we consider how a SIMD processor array can be used to efficiently implement the RATS algorithm.

Paper Details

Date Published: 21 April 1986
PDF: 6 pages
Proc. SPIE 0596, Architectures and Algorithms for Digital Image Processing III, (21 April 1986); doi: 10.1117/12.952298
Show Author Affiliations
J. Illingworth, SERC Rutherford Appleton Laboratory (UK)
J. Kittler, SERC Rutherford Appleton Laboratory (UK)


Published in SPIE Proceedings Vol. 0596:
Architectures and Algorithms for Digital Image Processing III
Francis J. Corbett; Howard Jay Siegel; Michael J. Duff, Editor(s)

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