Deals withthe hardware implementation of a low-level imageprocessing unit for mobile autonomous systems. High processing performance and a small physical size of the sensor and processing unit are two important fact...
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Deals withthe hardware implementation of a low-level imageprocessing unit for mobile autonomous systems. High processing performance and a small physical size of the sensor and processing unit are two important factors. the imageprocessing unit described here combines between high system performance and flexibility. the emphasis for this design lies on two aspects, i.e. adapted processors, in this case SIMD processor-arrays, and guided data reduction by means of finding partial images.< >
the performance of the ASP computer on vision tasks has been evaluated by applying the Abingdon Cross benchmark using a number of different algorithms. In this paper, these algorithms are compared and contrasted on th...
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the performance of the ASP computer on vision tasks has been evaluated by applying the Abingdon Cross benchmark using a number of different algorithms. In this paper, these algorithms are compared and contrasted on the basis of their performance.< >
An architecture is presented for low-cost and flexible realisation of imageprocessing and analysis algorithms of binary images. the flexibility of the architecture is due to reconfigurable network of simple boolean f...
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An architecture is presented for low-cost and flexible realisation of imageprocessing and analysis algorithms of binary images. the flexibility of the architecture is due to reconfigurable network of simple boolean functions. It is shown that this architecture can readily be implemented by low-cost off-the-shelf components. this is illustrated by some simulations of a hypothetical realisation.< >
Production system programs are being routinely used in diverse tasks. Withthe increasing acceptance, demands on production system implementations is growing. Currently several research efforts are trying to use produ...
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Window-based parallel architectures are considered as target structures for the computation of low and medium level imageprocessing algorithms. their definition stems from a general reformulation of algorithms, based...
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Window-based parallel architectures are considered as target structures for the computation of low and medium level imageprocessing algorithms. their definition stems from a general reformulation of algorithms, based on local data processing. A methodology for high level global evaluation of such architectures is presented, considering the reachable performances of the structures as main significant parameters.< >
作者:
M. ShawkyK.M. HouX.W. TuCNRS
URA 817 Heuristique & Diagnostic des Systèmes Complexes Universittaté de Technologie de Compiègne Compiegne France
Nowadays, autonomous vehicles are undergoing a distinct evolution, taking advantage of the recent technological progress in computer architectures. the development tools are more sophisticated, forwarding the trend to...
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Nowadays, autonomous vehicles are undergoing a distinct evolution, taking advantage of the recent technological progress in computer architectures. the development tools are more sophisticated, forwarding the trend to dedicated architectures. In the paper, the authors consider a parallel vision sub-system integrated in an overall architecture for a mobile robot (indoor autonomous vehicle). the system modules work in parallel, communicating through a hierarchical blackboard, an extension of the 'tuple space' from LINDA concepts, where they may exchange data or synchronization messages. the processing elements are of different skills, built around 50 MHz i860-XP Intel RISC processors for high level processing, and pipelined systolic array processors based on PLAs or FPGAs for low level imageprocessing.< >
the paper concerns computational models and languages for iterative cellular automata for imageprocessing applications. the authors present some formal models, with different computational resources, that can be usef...
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the paper concerns computational models and languages for iterative cellular automata for imageprocessing applications. the authors present some formal models, with different computational resources, that can be useful in the solution of certain algorithmic problems. they introduce some concepts such as memory splitting, conditional functions, dynamic neighborhood and supervisor automaton. the models defined lead to a parallel language structure that can express low-level imageprocessing algorithms in a clear and concise way. the language allows a transparent description of the algorithms and can be easily expandable to reflect the needs of people working in different branches of imageprocessing.< >
Rank order filters form an important class of low level image operations that have widespread applications in image smoothing, texture analysis, etc. In the paper, the authors study several ways of computing rank orde...
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Rank order filters form an important class of low level image operations that have widespread applications in image smoothing, texture analysis, etc. In the paper, the authors study several ways of computing rank order filters on processor array architectures. they also present a replicated data algorithm for efficient processing of small images on relatively large processor arrays. Results of implementing the algorithms on a Connection Machine CM-2 and a Mas-Par MP-1 are presented.< >
the primary task of intermediate level vision (ILV) is to take the output of low level vision, which is typically a subset of pixels from the original image array, and to generate a representation of image content whi...
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the primary task of intermediate level vision (ILV) is to take the output of low level vision, which is typically a subset of pixels from the original image array, and to generate a representation of image content which is appropriate for symbolic manipulations at a higher level. these tasks, e.g. boundary detection, various types of segmentation or the computation of attributes of image components, involve operations on individual pixels, sets of pixels with a common label or on entities extracted from the raw pixel data, such as orientation of lines or distance between pairs of parallel lines. A class of tasks which operate on individual pixels or sets of pixels is described, problems which are raised in parallel implementations of this class of tasks are considered, and solutions are suggested.< >
computervision and image understanding processes are not very robust; small changes in exposure parameters or in internal parameters of algorithms can lead to significantly different results. A combination (fusion) o...
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computervision and image understanding processes are not very robust; small changes in exposure parameters or in internal parameters of algorithms can lead to significantly different results. A combination (fusion) of these results is profitable. the authors introduce an extended fusion concept dealing with different sources of information at external (world, scene, image) and internal (image description, scene description) levels and define the process of fusion. Each level requires its own procedure of quality measure and information fusion in order to yield a combination of components from several sources. Related work in the field is reviewed. Examples from the authors' own work cover remote sensing (improvement of classification results by fusion at the image level), medical imageprocessing of ocular fundus images (automatic control point selection by fusion at the image description level) and the interpretation of Billard scenes (object identification by fusion at the scene description level).< >
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