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Abstract

We present a constructive approach to the realization of a parallel system for the vision processing. This approach follows the classical software engineering principles: analysis, specification, design and implementation. The language CO-OPN (Concurrent Object Oriented Petri Net) is used to discribe the specification and the design of such system, while the implementation has been performed on a transputer machine. The writting of the CO-OPN specifications has been supported by the SANDS environement (Structured Algebraic Nets Development System) which also allow to simulate the behavior of the modelled system in an abstract way. A module, the main piece of the vision system, is presented that can be used for composing a computer vision architecture exploiting asynchronous data flows. This module is general enough to be duplicated and interconnected into a uniform graph. A module works by grouping asynchronous pieces of information coming through a channel, which delays them according to their relevance to the task of the module. The traditional separation between quantitative and symbolic processings vanishes since the module allows them to be implemented in a uniform way. The abstract specification of such principle is proposed, followed by a transformation refining this abstract specification into a concrete specification by introducing a distributed algorithm The concrete specification serves as the reference for the implementation on the distributed machine. We present a constructive approach to the realization of a parallel system for the vision processing. This approach follows the classical software engineering principles: analysis, specification, design and implementation. The language CO-OPN (Concurrent Object Oriented Petri Net) is used to discribe the specification and the design of such system, while the implementation has been performed on a transputer machine. The writting of the CO-OPN specifications has been supported by the SANDS environement (Structured Algebraic Nets Development System) which also allow to simulate the behavior of the modelled system in an abstract way. A module, the main piece of the vision system, is presented that can be used for composing a computer vision architecture exploiting asynchronous data flows. This module is general enough to be duplicated and interconnected into a uniform graph. A module works by grouping asynchronous pieces of information coming through a channel, which delays them according to their relevance to the task of the module. The traditional separation between quantitative and symbolic processings vanishes since the module allows them to be implemented in a uniform way. The abstract specification of such principle is proposed, followed by a transformation refining this abstract specification into a concrete specification by introducing a distributed algorithm The concrete specification serves as the reference for the implementation on the distributed machine.

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