Underpinning the development of modern machine vision systems is a new generation of DSPs designed to support parallelprocessing. This paper describes the general features of the Texas Instruments TMS320C40 and how t...
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Underpinning the development of modern machine vision systems is a new generation of DSPs designed to support parallelprocessing. This paper describes the general features of the Texas Instruments TMS320C40 and how these are useful for imageprocessing systems. The paper shows how some of the features of the C40 processor can be used to easily provide a high performance engine when executing imageprocessing algorithms. Moreover it shows how parallelprocessing systems for imageprocessing can be built with the C40, which can handle the high bandwidth data transfer and processing speeds required. It also describes how an application was built to make use of these features in a parallelimageprocessing system based on the VME bus, and how the power, flexibility and ease of use of the C40 made it a natural candidate for the implementation of the algorithm.< >
imageprocessing, and especially real time imageprocessing, is naturally a very compute intensive task. These tasks can now be tackled very well with the Texas Instruments TMS320C40 DSP processor. This, as well as ha...
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imageprocessing, and especially real time imageprocessing, is naturally a very compute intensive task. These tasks can now be tackled very well with the Texas Instruments TMS320C40 DSP processor. This, as well as having a powerful processing architecture well suited to data intensive signal processing tasks such as imageprocessing, also has six high speed communication ports for transferring data between C40 processors in a network. Coupled with suitable modular C40 based hardware such as that from Loughborough Sound images, this can provide an extremely powerful and flexible imageprocessing system. This paper presents some results of using C40 processors in practical imageprocessing systems, both a single C40 and multiple C40s. It deals with the real processing speed achievable and techniques to achieve that speed, then the speed of transferring image data between C40s, for example partitioning a grabbed image across to several C40s. It then goes on to demonstrate how an application was developed making use of the above techniques, to give a real time imageprocessing system processing a full 512*512 image at 12.5 frames per second.< >
Optical signal processing (OSP) offers numerous advantages in real time imageprocessing applications. OSP inherently offers parallelism in the processing of data at speeds much higher than those achievable using elec...
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Optical signal processing (OSP) offers numerous advantages in real time imageprocessing applications. OSP inherently offers parallelism in the processing of data at speeds much higher than those achievable using electrical digital signal processing (DSP). In this contribution a review of the available OSP techniques for imageprocessing is given. Particular attention is given to image feature estimation in background noise while the necessary OSP implementations are demonstrated.
An imageprocessing system based upon Texas Instruments TMS320C40 digital signal processors is described, which is currently in the final stages of development and will be applied to non-contact inspection of medical ...
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An imageprocessing system based upon Texas Instruments TMS320C40 digital signal processors is described, which is currently in the final stages of development and will be applied to non-contact inspection of medical and industrial applications. The system is capable of manipulating HDTV resolution images and is due to be operational during the second quarter of 1994.
Several important parameters must be considered in the implementation and specification of high performance algorithms for pattern classification. These include the use of appropriate parallelprocessing computational...
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Several important parameters must be considered in the implementation and specification of high performance algorithms for pattern classification. These include the use of appropriate parallelprocessing computational infrastructure and techniques which allow effective pattern rejection and decision making during the early stages in the processing chain. Several techniques for such applications are presented in this paper.
The paper describes a 32 physical node fine-grained computer for image pre-processing applications. The computer, known as Zelig, uses field programmable gate arrays (FPGAs) to store the node data needed for creating ...
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The paper describes a 32 physical node fine-grained computer for image pre-processing applications. The computer, known as Zelig, uses field programmable gate arrays (FPGAs) to store the node data needed for creating larger automata. It is also provided with a time multiplexing component for generating virtual axes and implementing higher dimension computations.
A high-speed, parallelimageprocessing system capable of handling large amount of data is described. The system, which is based on Texas Instrument's TMS320C40 digital signal processor, offers high processing rat...
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A high-speed, parallelimageprocessing system capable of handling large amount of data is described. The system, which is based on Texas Instrument's TMS320C40 digital signal processor, offers high processing rates, faster communication ports and has the support for parallel architecture. It is currently being applied to non-contact inspection of medical and industrial applications.
A parallel color imageprocessing system for grading fresh agricultural products is described in this paper. The system uses a transputer array to process data at a rate of 80 objects per second. It is also provided w...
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A parallel color imageprocessing system for grading fresh agricultural products is described in this paper. The system uses a transputer array to process data at a rate of 80 objects per second. It is also provided with debug buffer which allows uninterrupted systems operation. Some of the system's other features are a data magazine module, a chaincoder module, a task allocation module and a postal service module.
Visible volume rendering is a computer graphics technique allowing researchers to view complex scientific data in a new, and previously impossible manner. The main problem with this technique however, is the excessive...
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Visible volume rendering is a computer graphics technique allowing researchers to view complex scientific data in a new, and previously impossible manner. The main problem with this technique however, is the excessive time taken to produce images from all but the simplest of data sets. What is proposed in this contribution is a novel volume rendering technique, utilizing parallel architecture in order to reduce processing times, whilst preserving high image quality.
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