Spots and edges serve as a basis for describing pictures. Hence, segmentation plays a significant role in imageprocessing. Because of the lack of a sufficiently global theory, we prefer interactive and heuristic solu...
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Spots and edges serve as a basis for describing pictures. Hence, segmentation plays a significant role in imageprocessing. Because of the lack of a sufficiently global theory, we prefer interactive and heuristic solutions. We first present a spot-type algorithm for composing true-colour images from 3 ( G,R,B ) components using interactively given ‘teachers’ (prototype-vectors); then a heuristic algorithm for detecting and correcting edges in natural pictures.
This paper deals with a novel architecture that makes real-time projection-based imageprocessing.a reality. The design is founded on raster-mode processing. which is exploited in a powerful and flexible pipeline. Thi...
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This paper deals with a novel architecture that makes real-time projection-based imageprocessing.a reality. The design is founded on raster-mode processing. which is exploited in a powerful and flexible pipeline. This architecture, dubbed “P 3 E” (Parallel Pipeline Projection Engine), supports a large variety of imageprocessing.and image analysis applications. In the present paper, we concern ourselves with several imageprocessing.tasks, such as discrete approximations of the Radon and inverse Radon transform, among other projection operators; CT reconstructions; 2-D convolutions; rotations and translations; etc. However, there is also an extensive list of key image analysis algorithms that are supported by P 3 E, thus making it a profound and versatile tool for projection-based computer vision. Recently, several image analysis operators were mapped onto this architecture to solve some important automated inspection problems. We have yet to apply P 3 E to many other unexplored imageprocessing.and image analysis tasks. Examples of these are object recognition, motion parameter computations, approximation of the Fourier transform on polar rasters, etc.
A technique is proposed for enhancing picture edges (sharpening boundaries) which will crispen the appearance of television pictures. Two closely related methods for both recognizing an edge, and introducing the enhan...
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A technique is proposed for enhancing picture edges (sharpening boundaries) which will crispen the appearance of television pictures. Two closely related methods for both recognizing an edge, and introducing the enhancement, are presented. The first method is simpler, while the second causes less distortion. Either method is applied based on a criterion that defines the location of an edge. This enhancement applies to digital video, and could be used in television sets or monitors that use digital signal processing. The intent is to make a crisper looking picture than the transmission data rate would normally allow without producing the unwanted distortions associated with peaking. In its simplest form, an additional sample is inserted between each of the received and digitized samples, thereby doubling the sample rate locally. Rather than interpolating from the received samples to get the values of the locally inserted ones, one pattern out of a set of nine basic patterns is selected that adds to the locally generated sample in such a way as to synthesize faster edge transients. This technique can be applied to both the horizontal and vertical on a television frame.
Because imageprocessing.is numerically intensive, there has been much interest in parallel processing.for image analysis applications. While much of low-level vision can be attacked by SIMD mesh-connected architectur...
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ISBN:
(纸本)0892527897
Because imageprocessing.is numerically intensive, there has been much interest in parallel processing.for image analysis applications. While much of low-level vision can be attacked by SIMD mesh-connected architectures, intermediate and high-level vision applications might be able to make effective use of MIMD and distributed architectures. We have taken a standard parallel connected components algorithm, and applied it to image segmentation using an MIMD architecture. The resulting version of the Shiloach/Vishkin algorithm runs on the prototype NYU Ultracomputer. We will describe the implementation and the results of some experiments. We take note of the lesson learned from this implementation: that processor power should be focused dynamically to those portions of the image requiring greatest attention. We then consider the implications of this lesson to other imageprocessing.tasks.
The following topics are dealt with: compiler techniques;multiprocessor concurrency;algorithms;fault tolerance and testing;logic programming and systems;embeddings;graph algorithms;architecture;programming languages;i...
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ISBN:
(纸本)0271006080
The following topics are dealt with: compiler techniques;multiprocessor concurrency;algorithms;fault tolerance and testing;logic programming and systems;embeddings;graph algorithms;architecture;programming languages;interconnection networks;numerical algorithms;software support;systolic computing;hypercube computing;imageprocessing.and programming systems.
The following topics are dealt with: compiler techniques;multiprocessor concurrency;algorithms;fault tolerance and testing;logic programming and systems;embeddings;graph algorithms;architecture;programming languages;i...
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ISBN:
(纸本)0271006080
The following topics are dealt with: compiler techniques;multiprocessor concurrency;algorithms;fault tolerance and testing;logic programming and systems;embeddings;graph algorithms;architecture;programming languages;interconnection networks;numerical algorithms;software support;systolic computing;hypercube computing;imageprocessing.and programming systems.
A distributed VLSI architecture is proposed for general application in digital signal processing. The architecture improves computational throughput by exploiting the regularity and repetitivity nature of digital sign...
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ISBN:
(纸本)0818607645
A distributed VLSI architecture is proposed for general application in digital signal processing. The architecture improves computational throughput by exploiting the regularity and repetitivity nature of digital signal processing.algorithms. The major advantage of the distributed architecture comes from keeping the central computation unit busy in data computation. This is achieved by: (1) making data transfer and data computation fully pipelined;and (2) proper scheduling of the activities of the processors so that in the normal operation mode they can run concurrently without a handshaking mechanism.
A new scheme to implement multiprocessor interconnection has been presented. The interconnection is easy, fast and flexible. Although the design is for imageprocessing.systems it can easily be extended to general pur...
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A new scheme to implement multiprocessor interconnection has been presented. The interconnection is easy, fast and flexible. Although the design is for imageprocessing.systems it can easily be extended to general purpose tightly-coupled multiprocessing.systems. Also it has been shown how a DSP based multiprocessor system can be used for real-time imageprocessing.
This conference proceedings contains 171 papers. The following topics are dealt with: compiler techniques;multiprocessor concurrency;algorithms;fault tolerance and testing;logic programming and systems;embeddings;grap...
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ISBN:
(纸本)0271006080
This conference proceedings contains 171 papers. The following topics are dealt with: compiler techniques;multiprocessor concurrency;algorithms;fault tolerance and testing;logic programming and systems;embeddings;graph algorithms;architecture;programming languages;interconnection networks;numerical algorithms;software support;systolic computing;hypercube computing;imageprocessing.and programming systems.
This colloquium proceeding contains 17 articles on digital signal processing. Among the topics covered are: digital signal processing.architectures;Optimal digital linear filters;digital filter peripheral design;Digit...
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This colloquium proceeding contains 17 articles on digital signal processing. Among the topics covered are: digital signal processing.architectures;Optimal digital linear filters;digital filter peripheral design;digital filters for biomedical signal processing.Orthogonal filter implementation;Multiprocessor architecture for real-time imageprocessing.Adaptive filtering of ocular artefacts in human electroencephalograms. Time-variant spectral analysis of seismic data;Sensor positioning errors in direction finding arrays;Low data late speech transmission;and Pulse shaping digital filters for QAM communication systems.
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