A Parallel Threshold Selection Algorithm

J. Illingworth; J. Kittler

doi:10.1117/12.952298

21 April 1986 A Parallel Threshold Selection Algorithm

J. Illingworth, J. Kittler

Proceedings Volume 0596, Architectures and Algorithms for Digital Image Processing III; (1986) https://doi.org/10.1117/12.952298
Event: 1985 International Technical Symposium/Europe, 1985, Cannes, France

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.

Citation Download Citation

J. Illingworth and J. Kittler "A Parallel Threshold Selection Algorithm", Proc. SPIE 0596, Architectures and Algorithms for Digital Image Processing III, (21 April 1986); https://doi.org/10.1117/12.952298

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available