The ICOS 20000 system is able to process gray-level image data of a high spatial resolution at a high speed. A large number of data reduction and feature extraction algorithms are hardware implemented. This allows the...
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FAZYTAN has been designed and realized for systematic adaption to image evaluation problems, which can be characterized as classification tasks with the availability of a labeled training set of statistic relevant exa...
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ISBN:
(纸本)0892524707
FAZYTAN has been designed and realized for systematic adaption to image evaluation problems, which can be characterized as classification tasks with the availability of a labeled training set of statistic relevant examples of the problem. The basic ideas of FAZYTAN are characterized. Examples of applications of FAZYTAN in the fields of biologic cell analysis, object segmentation, texture analysis and satellite image analysis are presented.
LIPP (Linköping image Parallell Processor) is a multiprocessor system intended mainly for image analysis and imageprocessing.but even other computing tasks where large amount of data should be manipulated in for...
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ISBN:
(纸本)0897911016
LIPP (Linköping image Parallell Processor) is a multiprocessor system intended mainly for image analysis and imageprocessing.but even other computing tasks where large amount of data should be manipulated in forms of matrices, such as weather forecasts or other related problems namely systems of differential equations. The processors within the processor array are of bit-serial type with the capability of directly processing.data with wordlengths in the range of 1 bit to 32 bits in one bit increments without time penalty. Bit-serial operation gives the possibility of designing suprisingly fast algorithms. To each processor is a fairly large memory (64 Kbit) associated. A processor can instantly reach 8 neighboring memories through an interconnecting network. The processor array whose size is thought to be 16 by 16 it running in SIMD mode. In this way memory access collisions can be minimized. image and matrix data are mapped in the memory space so that each memory holds a subimage. We call this mapping distributed processor topology. Because of the memory mapping and interconnection network neighborhood operations such as two dimensional convolution are easily performed.
This paper considers the characteristics of edges and the statistical properties of noise in gray-level histograms taken from local regions of an image. The noise can then be regarded as a blurring process on the gray...
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ISBN:
(纸本)0892524707
This paper considers the characteristics of edges and the statistical properties of noise in gray-level histograms taken from local regions of an image. The noise can then be regarded as a blurring process on the gray-level histograms. Therefore, the problem of edge detection for noisy images can be reduced to the problem of invariant feature extraction under one-dimensional blurring. By applying a theory of blurring-invariant feature extraction, a new family of nonlinear edge detectors is derived. The resultant operators are simple, based on central moments of the gray levels within a local window, and definable independently of edge orientation in the window. The operators are quite insensitive to noise, and their effectiveness has been confirmed by experiments.
Lines in images, after digitization, binary conversion, and thinning, can be represented as piece-wise linear curves on a two-dimensional plane. The piece-wise linear plane curves may be converted to regularized curva...
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ISBN:
(纸本)0892524707
Lines in images, after digitization, binary conversion, and thinning, can be represented as piece-wise linear curves on a two-dimensional plane. The piece-wise linear plane curves may be converted to regularized curvature functions by the use of kernel functions. The method of kernel functions gives position, orientation, and if desired, length invariant representations of the piece-wise linear curves, and produces controllably smooth descriptions while preserving the overall shape of the original curve. The method is applicable to shape description for matching, identification and smooth reconstruction.
The purpose of this paper is to compare flexible, real-time commercial vision systems. First the importance and growth of machine vision for the next decade is briefly introduced. A description of today's vision m...
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ISBN:
(纸本)0892524707
The purpose of this paper is to compare flexible, real-time commercial vision systems. First the importance and growth of machine vision for the next decade is briefly introduced. A description of today's vision market follows. The third and last part gives an overview and compares many general purpose and industrial vision systems under several criteria.
A series of IR images from a mosaic sensor in geosynchronous orbit is simulated. This simulation includes the area around Santa Cruz, two layers of moving clouds, high and low level targets, simulated line of sight dr...
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ISBN:
(纸本)0892524677
A series of IR images from a mosaic sensor in geosynchronous orbit is simulated. This simulation includes the area around Santa Cruz, two layers of moving clouds, high and low level targets, simulated line of sight drift, and the composite optical-detector transfer function. Eight algorithms were tested on the simulation for target extraction and clutter rejection: four temporal differencing algorithms, temporal adaptive filtering, spatial adaptive filtering, spatial differencing, and a modified LMS fliter.
The Massively Parallel Processor (MPP) was developed to support ultra high-speed ground based imageprocessing. The architecture comprises an array unit (ARU) which processes arrays of data;an array control unit (ACU)...
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This paper presents a set of algorithms used to automatically detect, segment and classify tactical targets in FLIR (Forward Looking InfraRed) images. These algorithms are implemented in an Intelligent Automatic Targe...
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ISBN:
(纸本)0892524707
This paper presents a set of algorithms used to automatically detect, segment and classify tactical targets in FLIR (Forward Looking InfraRed) images. These algorithms are implemented in an Intelligent Automatic Target Cueing (IATC) system. Target localization and segmentation is carried out using an intelligent preprocessing.step followed by relaxation or a modified double gate filter followed by difference operators. The techniques make use of range, intensity and edge density information. A set of robust features of the segmented targets is computed. These features are normalized and decorrelated. Feature selection is done using the Bhattacharrya measure. Classification techniques include a set of linear, quadratic classifiers, clustering algorithms, and an efficient K-nearest neighbor algorithm. Facilities exist to use structural information, to use feedback to obtain more refined boundaries of the targets and to adapt the cuer to the required mission. The IATC incorporating the above algorithms runs in an automatic mode. The results are shown on a FLIR data base consisting of 480, 512 multiplied by 512, 8 bit air-to-ground images.
In this paper a description is given of the application of a microprocessor-based multiprocessor system (the Heidelberg POLYP polyprocessor) to chromosome aberration scoring in biologic dosimetry and to the screening ...
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ISBN:
(纸本)0892524707
In this paper a description is given of the application of a microprocessor-based multiprocessor system (the Heidelberg POLYP polyprocessor) to chromosome aberration scoring in biologic dosimetry and to the screening of monolayer cell preparations such as those prepared for cancer prescreening. The POLYP system is characterized by the grouping of processors under software control, by multiple data buses, and by a syncbus that dynamically adjusts priority scheduling among processors, thus eliminating, for all practical purposes, the usual bus bandwidth limitations.
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