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[1990] Proceedings. 10th International Conference on Pattern Recognition最新文献

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Pattern recognition using 3-D moments 基于三维矩的模式识别
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118161
Chong-Huah Lo, H. Don
{"title":"Pattern recognition using 3-D moments","authors":"Chong-Huah Lo, H. Don","doi":"10.1109/ICPR.1990.118161","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118161","url":null,"abstract":"A 3-D moment method of object identification and positioning is proposed. Moments are computed from 3-D CAT image functions, 2.5-D range data, space curves, and discrete 3-D points. Objects are recognized by their shapes via moment invariants. Using an algebraic method, scalars and vectors are extracted from a compound of moments using Clebsch-Gordon expansion. The vectors are used to estimate position parameters of the object. Moment features of range data can be used in view-independent object recognition when the three-layer perceptron encodes the feature space distribution of the object in the weights of the network. Objects are recognized from an arbitrary viewpoint by the trained network.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124884562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
A real time connected word recognition system 一个实时连接的单词识别系统
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119356
Y. Ishikawa, K. Nakajima
{"title":"A real time connected word recognition system","authors":"Y. Ishikawa, K. Nakajima","doi":"10.1109/ICPR.1990.119356","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119356","url":null,"abstract":"A real-time speaker-dependent connected word recognition system with speaker adaptation is described. Cepstral analysis is performed using a digital signal processor. The system generates word candidates by continuous dynamic time warping (DTW) between input speech and word templates. With DTW-LSI chips, the matching between an input pattern and 500 word templates can be carried out in real time. Sentence syntax rules are represented by a finite-state network model, and a real-time search is performed using parallel processors. The system can handle an 8000-word (maximum) vocabulary task, if focus control is performed and the words to be recognized simultaneously are in groups of less than 500. The system has a speaker adaptation function based on vector quantization. The recognition system has been evaluated in a 191-word vocabulary expert system for a nuclear power plant and achieves sentence-recognition accuracies of 94.7% and of 93% with the speaker adaptation. The system can realize a speech dialogue expert system for practical use.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128214731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
An improved linked pyramid for texture segmentation using the fractal Brownian model 基于分形布朗模型的纹理分割改进链接金字塔
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118193
E. J. Eijlers, E. Backer, J. J. Gerbrands
{"title":"An improved linked pyramid for texture segmentation using the fractal Brownian model","authors":"E. J. Eijlers, E. Backer, J. J. Gerbrands","doi":"10.1109/ICPR.1990.118193","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118193","url":null,"abstract":"The usefulness of the fractal Brownian model in combination with pyramidal data structures is discussed. The model enables one to optimize the initialization of the texture pyramid. The ideas which are applied during the initialization phase are also applied during the segmentation. The segmentation algorithm is based on the complete linked pyramid and does not require prior knowledge about the number of segments. The segmentation result is obtained by walking along the links, guided by an error measure. The method does not require any predefined thresholds. All experimental PC program has been developed for the 1-D case.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129331978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Towards autonomy in active contour models 主动轮廓模型的自主性研究
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118228
M. Berger, R. Mohr
{"title":"Towards autonomy in active contour models","authors":"M. Berger, R. Mohr","doi":"10.1109/ICPR.1990.118228","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118228","url":null,"abstract":"The strengths and the drawbacks of active contour models are described, and the absolute necessity of a criterion for assessing the solutions is pointed out. A method called snake growing, based on successive lengthenings of the snake, is proposed. The strength of this approach is that, at each stage, good convergence conditions are realized and initialization problems can be eliminated.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127295241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 76
Systolic array implementation of image segmentation by a directed split and merge procedure 收缩阵列实现的图像分割的一个有向分割和合并程序
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119407
A. Tyagi, M. Bayoumi
{"title":"Systolic array implementation of image segmentation by a directed split and merge procedure","authors":"A. Tyagi, M. Bayoumi","doi":"10.1109/ICPR.1990.119407","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119407","url":null,"abstract":"A systolic array implementation of image segmentation by a split and merge procedure is proposed. The implementation enhances the input/output and memory bandwidth requirements, leading to a decrease in the computation time for the segmentation of an image. Image segmentation through the proposed approach can be achieved in linear time.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127423083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Irregular tessellation based image analysis 基于不规则镶嵌的图像分析
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118149
A. Montanvert, P. Meer
{"title":"Irregular tessellation based image analysis","authors":"A. Montanvert, P. Meer","doi":"10.1109/ICPR.1990.118149","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118149","url":null,"abstract":"Independent stochastic processes are used to generate in parallel irregular tessellations of an image. Recursive application of the procedure yields a multiresolution hierarchy adapted to the content of the image. The hierarchy is similar to traditional image pyramids: its height is of log (image size) order, but by being adapted to the input, it eliminates the artifacts frequently present in the latter. The output obtained at the apex of the hierarchy can be used for fast image analysis. The technique was applied to connected component labeling (labeled images) and segmentation (gray-level images).<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129972144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Randomized Hough transform (RHT) 随机霍夫变换(RHT)
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118177
P. Kultanen, Lei Xu, E. Oja
{"title":"Randomized Hough transform (RHT)","authors":"P. Kultanen, Lei Xu, E. Oja","doi":"10.1109/ICPR.1990.118177","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118177","url":null,"abstract":"A method is developed for calculating the Hough transform (HT) and completing the task of finding global features from binary edge images. The method is based on the fact that a single parameter space point can be determined uniquely with a pair, triple, or generally n-tuple of points from the original picture. Such n-tuples of points can be chosen randomly from the edge image, giving the method the name randomized Hough transform (RHT). The new algorithm reduces the computation time and memory use of the HT drastically. In the standard HT one must calculate one parameter curve in the parameter space for one pixel, whereas in the RHT only one parameter point has to be solved for one n-tuple of points, and the presence of a specific curve in the image is quickly revealed by the accumulation of a small number of parameter points.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128934918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 121
Multi-phase recognition of multifont photoscript Arabic text 多字体照本阿拉伯语文本的多阶段识别
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.118196
Khaled El Gowely, O. El-Dessouki, A. Nazif
{"title":"Multi-phase recognition of multifont photoscript Arabic text","authors":"Khaled El Gowely, O. El-Dessouki, A. Nazif","doi":"10.1109/ICPR.1990.118196","DOIUrl":"https://doi.org/10.1109/ICPR.1990.118196","url":null,"abstract":"A new system for the recognition of a multifont photoscript Arabic text is introduced. The distinguishing feature of such text is that it is written cursively. This imposes an additional requirement of isolating each character or set of overlapping characters before recognition. The proposed system is composed of three interleaved phases. The segmentation phase attempts to produce an initial set of characters from the connected text according to a set of predefined rules. The output is then passed to a preliminary classification phase that attempts to label the unknown characters into one of ten possible classes according to a set of rules that acquire their parameter values through learning. The last phase contains a more elaborate set of rules that recognize characters within each class. This recognition phase is designed to allow errors during segmentation and/or classification to be rectified through an adaptive recognition technique. The system has been implemented and tested on several fonts with a recognition rate of 130 words/min and an error rate of less than 6%.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129058505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
Pattern classification algorithms for real-time image segmentation 用于实时图像分割的模式分类算法
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119428
G. Healey, B. Dom
{"title":"Pattern classification algorithms for real-time image segmentation","authors":"G. Healey, B. Dom","doi":"10.1109/ICPR.1990.119428","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119428","url":null,"abstract":"Algorithms for use with a previously published VLSI architecture for pattern classification are presented. This architecture is based on the evaluation of class discriminant functions without cross terms. Tradeoffs in architecture design have been required to allow high throughput, and the decision regions in feature space which can be generated using this architecture therefore form a restricted subset of possible decision regions. The properties of such decision regions and associated classifier training algorithms are investigated. Some experimental results are included.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123739914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A connectionist classifier architecture applied to image segmentation 一种用于图像分割的连接分类器体系结构
[1990] Proceedings. 10th International Conference on Pattern Recognition Pub Date : 1990-06-16 DOI: 10.1109/ICPR.1990.119369
W. Blanz, Sheri L. Gish
{"title":"A connectionist classifier architecture applied to image segmentation","authors":"W. Blanz, Sheri L. Gish","doi":"10.1109/ICPR.1990.119369","DOIUrl":"https://doi.org/10.1109/ICPR.1990.119369","url":null,"abstract":"A connectionist classifier architecture that is used in an image segmentation scheme based upon a decision analysis paradigm is described. An appropriate architecture for a connectionist classifier is discussed, and its relationship to other image segmentation architectures following the same paradigm is shown. The performance of a complete system, including pixel descriptor extraction and connectionist classifier, is demonstrated using scenes from industrial inspection and combustion chamber research tasks.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"ii 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131312024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 43
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