the proceedings contains 335 papers. the following topics are dealt with: imageprocessing;object recognition;text recognition;graphics recognition;image texture analysis;image matching techniques;intelligent control;...
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ISBN:
(纸本)0818608781
the proceedings contains 335 papers. the following topics are dealt with: imageprocessing;object recognition;text recognition;graphics recognition;image texture analysis;image matching techniques;intelligent control;3-D imageprocessing and object recognition;character recognition;filtering and estimation;image edge detection and relaxation;vision;image segmentation;speech recognition;techniques in patternrecognition;imageprocessing architecture;medical mapping;topographic mapping;Hough transforms and related techniques;image classification techniques;3-D pattern analysis;clustering, classification and coding;algorithms for imageprocessing;computervision;shape recognition;optical flow;and biomedical applications of imaging technology.
the author reviews a number of parallel-processing projects which tried to conveniently use processing power, memory and input/output of image data for image analysis. the systems covered include ILLIAC, CLIP, MPP, th...
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ISBN:
(纸本)0818608781
the author reviews a number of parallel-processing projects which tried to conveniently use processing power, memory and input/output of image data for image analysis. the systems covered include ILLIAC, CLIP, MPP, the cytocomputer, SNAP, and PAPIA and II. Issues in parallelism reviewed include types of parallelism, types of operation, complexity of processing elements, and the different paradigms of human vision and their application and implementation.
the proceedings contain 66 papers. the special focus in this conference is on patternrecognition. the topics include: Change detection in digital imagery using the adaptive learning networks;image segmentation using ...
ISBN:
(纸本)9783540190363
the proceedings contain 66 papers. the special focus in this conference is on patternrecognition. the topics include: Change detection in digital imagery using the adaptive learning networks;image segmentation using causal Markov random field models;preditas — Software package for solving patternrecognition and diagnostic problems;processing poor quality line drawings by local estimation of noise;a color classification algorithm for color images;fuzzy set methods in patternrecognition;a fuzzy hybrid model for pattern classification;on the role of pattern in recognizer design;a statistical study in word recognition;an integrated image segmentation/image analysis system;feature extraction from line drawing images;syntax analysis in automated digitizing of maps;a fast binary template matching algorithm for document image data compression;recognition system for three-view mechanical drawings;a heuristic algorithm for stroke extraction;an analysis of methods for improving long-range connectivity in meshes;Implementation and use of software scanning on a small CLIP4 processor array;Performing global transforms on an SIMD machine;a parallel architecture for model-based object recognition;lapwing - A trainable imagerecognition system for the linear array processor;a fast algorithm for the automatic recognition of heat sources in satellite images;linguistic definition of generic models in computervision;a multiple hypothesis rule-based automatic target recognizer;generic cueing in image understanding;knowledge-based approach for adaptive recognition of drawings;extended symbolic projections as a knowledge structure for spatial reasoning;Knowledge-based road network extraction on SPOT satellite images;median-based methods of corner detection;an efflcient Radon transform.
the complexity of efficiently programming massively parallel machines is illustrated by presenting a number of new algorithms. these algorithms deal with computational geometry, data histogramming, list manipulation, ...
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ISBN:
(纸本)0818608781
the complexity of efficiently programming massively parallel machines is illustrated by presenting a number of new algorithms. these algorithms deal with computational geometry, data histogramming, list manipulation, and other problems or operations that arise in computervision tasks. All of the algorithms presented use a divide-and-conquer strategy, and they all use routines that solve a problem of size M using a machine of size N, where M < N. In some of the algorithms, the extra processors are used to perform more than M calculations in parallel. In other algorithms, the extra processors are used to improve the speed of interprocessor communication.
Clustering (or grouping), defined as the taxonomy of objects (image regions) into categories based on the similirity of their characteristics, is examined. Both in computer and human vision, the use of joint spatial/s...
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ISBN:
(纸本)0818608781
Clustering (or grouping), defined as the taxonomy of objects (image regions) into categories based on the similirity of their characteristics, is examined. Both in computer and human vision, the use of joint spatial/spatial-frequency (s/sf) representations in this process are suggested. the Wigner and pseudo-Wigner distributions, examples of s/sf representations, are discussed. A comparison is made between the Wigner distribution, the spectrogram, the difference-of-Gaussians representation, and the Gabor representation. Experimental results in the areas of texture segmentation and Gestalt grouping using the Wigner distribution are presented, proving the feasibility of such an approach.
this paper describes a generalisation of the binary N tuple technique originally described by Bledsoe and Browning (1). the binary N tuple technique has commonly been used for the classification (2) and pre-processing...
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It is argued that traditional patternrecognition methods are inadequate for the tasks confronting computervision. In an effort to overcome their limitations, a new approach has been developed, in which the concept o...
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A method is presented in this paper for the analysis of characteristics of infrared images from antitank missile systems. It is shown that some of the invariant moments of these images can be calculated from the proje...
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A trainable recognition system intended for the detection of features in satellite imagery and for potential application to, for example, production line inspection has been constructed. A genetic search algorithm is ...
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