During the past decade, three major categories of image matching algorithms have emerged: Signal-processing-based, artificial-intelligence-based, and a combination of these methods called hybrid techniques. This paper...
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The problem of computing projection, of digitalimages is considered. algorithms are presented that are suitable for implementation in general-purpose imageprocessing and image analysis pipeline architectures. Also, ...
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The problem of computing projection, of digitalimages is considered. algorithms are presented that are suitable for implementation in general-purpose imageprocessing and image analysis pipeline architectures. Also, some new pipeline configurations are proposed that achieve a remarkable degree of parallelism in the computation of projection data and, in fact, of many other geometrical descriptors of digitalimages. In particular, random access memories and other dedicated hardware devices are not needed in these algorithms. The effectiveness of the approach and feasibility of the proposed architectures are demonstrated by running the algorithms in commercially available shortpipelines for imageprocessing and analysis. Examples are shown of the use of projection data for machine vision applications.
Out of all possible multiprocessor interconnection schemes, the time-shared bus has some advantages for hardware realisations. Not only is it one of the simpliest and cheapest ways to tie processors together, but it i...
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The problem of computing projections of digitalimages is considered. algorithms that are suitable for implementation in general-purpose imageprocessing and image analysis pipeline architectures are presented. The au...
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ISBN:
(纸本)0818606339
The problem of computing projections of digitalimages is considered. algorithms that are suitable for implementation in general-purpose imageprocessing and image analysis pipeline architectures are presented. The authors also propose some new pipeline configurations that achieve a remarkable degree of parallelism in the computation of projection data and, in fact, of many other geometrical descriptors of digitalimages. In particular, random access memories and other dedicated hardware devices are not needed in the algorithms. The effectiveness of the approach and feasibility of the proposed architectures are demonstrated by running the algorithms in commercially available short-pipelines for imageprocessing and analysis. Examples are shown of the use of projection data for machine vision applications.
A one-dimensional systolic geometry processor (SGP) which is useful in imageprocessing and pattern recognition is described. The geometry processor can be used to enhance processing speed and throughput of the host c...
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Our study consists of three phases: mapping the algorithms on the three topologies, simulating the execution of these algorithms, and design of the array. Our mapping follows the standard methodology proposed for the ...
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ISBN:
(纸本)0819413291
Our study consists of three phases: mapping the algorithms on the three topologies, simulating the execution of these algorithms, and design of the array. Our mapping follows the standard methodology proposed for the design of systolic arrays, since our application domain is very specific and the selected algorithms very regular. After the mapping is done we simulate the algorithms using the SES/workbench simulation package which allows us to collect statistics on the execution time and efficiency of our mappings and evaluate the performance of the three topologies in our application domain using different array and problem sizes. For each algorithm and topology the range of scalability is determined as a function of image size. In the design phase we propose an SIMD array with 2-D torus interconnection topology as a cost- efficient solution to the scalable implementation of the selected algorithms. Considerations entering the design phase are performance as determined by simulations, cost of implementation, and ease of scaling the machine size.
This paper describes an algorithm, which computes synthetical radiographs from the characteristics of the observed object, of the used X-ray machine and of the recording technique. Some examples of such images synthes...
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We describe the extension of the concepts of size distribution measurement from linear to non linear filtering and from binary to greyvalue imageprocessing. A size-height transform was developed in order to make a sp...
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The discrete Hartley transform (DHT) and its fast algorithm were introduced recently. One of the advantages of the DHT is that the forward and inverse transforms are of the same form except for a normalization constan...
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In this paper we deal with the problem of detecting and segmenting objects in textured dark-field digitalimagery for automated visual-inspection applications. We first present a technique for correcting optical shadi...
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In this paper we deal with the problem of detecting and segmenting objects in textured dark-field digitalimagery for automated visual-inspection applications. We first present a technique for correcting optical shading effects in conventional dark-field microscopy. After compensating for possible imperfections in the optical setting we address the problem of segmenting objects (defects) in textured dark-field images. The technique that we will follow is based on a sequential application of local operators, which serves the purpose of clustering the object and the background gray levels. This procedure can be considered an extension of average-thresholding-type techniques. Both algorithms for shading correction and object segmentation have fast implementations in general-purpose image-processing pipeline architectures, and therefore they are appealing to real-time computer vision applications. Computational examples showing the appropriateness of the shading-correction procedure as well as the effectiveness of the segmentation wil be discussed.
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