A Retrospective on Real-Time Imaging, a New Taxonomy and a Roadmap for the Future

Laplante, Phillip A.

doi:10.1006/rtim.2002.0297

Cited by 3 publications

(2 citation statements)

References 42 publications

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“…For example, what if the inspection system captures a new image in parallel with preprocessing of the last image capture? 1 Concurrency is not easily depicted in this form of SASD.…”

Section: Problems With Sasd In Real-time Imaging Applicationsmentioning

confidence: 99%

“…In the last decade there has been a significant increase in the interest in real-time image processing. Indeed, since 1995 there has been an almost 100% increase in scholarly articles devoted to the subject over that of the previous 25 years [1]. Many factors may contribute to this figure, but without question the domain of real-time imaging systems has grown and continues to grow rapidly.…”

Section: Introductionmentioning

confidence: 99%

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Specification of real-time imaging systems using the UML

Neill

Laplante

2003

Real-Time Imaging

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Real-time imaging systems are expected to perform at a rate set by the operating environment. This places additional temporal constraints on the implementation, and has led to advances in parallel processing and optimization. The constraints are also applied, however, to the analysis and design models of the system, an aspect that has received far less consideration, particularly outside of academia. It is well understood that the earlier an error is discovered the cheaper the fix and this is taken to the extent that, if an error can be found during design or even analysis, the repair can be several orders of magnitude cheaper. It is therefore an economic imperative that the analysis and design models are sufficiently expressive such that the flaws in the model can be discovered before they are implemented, and this applies equally to real-time constraints. The contribution of this paper is to make the case for the use of the Unified Modeling Language, extended with a rigorous formal method, the Q-model, for the specification and design of real-time imaging systems. To illustrate its utility the proposed approach is examined in comparison with a more traditional approach, Structured Analysis and Design, by way of a case study.

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“…For example, what if the inspection system captures a new image in parallel with preprocessing of the last image capture? 1 Concurrency is not easily depicted in this form of SASD.…”

Section: Problems With Sasd In Real-time Imaging Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%