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[1988 Proceedings] 9th International Conference on Pattern Recognition最新文献

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A nonlinear normalization method for handprinted kanji character recognition-line density equalization 手印汉字识别的非线性归一化方法——线密度均衡
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28198
H. Yamada, K. Yamamoto, T. Saito
{"title":"A nonlinear normalization method for handprinted kanji character recognition-line density equalization","authors":"H. Yamada, K. Yamamoto, T. Saito","doi":"10.1109/ICPR.1988.28198","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28198","url":null,"abstract":"A nonlinear normalization method called the line density equalization is proposed in which a resampling is done so as to equate the product of a local line density and a (variable) sampling pitch. Consequently, the line density in the space is homogenized, the efficiency of utilization of the space is increased, and a stable normalization is obtained for partially irregular shape variations. The method was applied to handprinted kanji character recognition, and its effectiveness was demonstrated.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128641630","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: 11
Vision system for turbine inspection 涡轮检测视觉系统
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28471
Heikki Maliniemi, H. Ailisto, H. Hakalahti
{"title":"Vision system for turbine inspection","authors":"Heikki Maliniemi, H. Ailisto, H. Hakalahti","doi":"10.1109/ICPR.1988.28471","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28471","url":null,"abstract":"An image analysis method was developed for the inspection of rotating blades of steam turbines. The method consists of three parts: (1) detecting the eventual crack points, (2) locating the cluster of these points, i.e. the eventual crack; and (3) following and analyzing the eventual crack. A computer vision system was constructed to implement the method. The system has been tested during shutdowns in a Finnish power plant.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129023509","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: 0
Boundary estimation in complex imagery using Fourier descriptors 傅立叶描述子在复杂图像中的边界估计
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28202
T. Jiang, M. Merickel
{"title":"Boundary estimation in complex imagery using Fourier descriptors","authors":"T. Jiang, M. Merickel","doi":"10.1109/ICPR.1988.28202","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28202","url":null,"abstract":"A scheme is proposed to estimate the boundary in complex imagery by the use of Fourier descriptors. The rough boundary is encoded in vector form by connecting the centroid of the region and its boundary points and resampling angularly. Thus the 2-D boundary is transformed into a 1-D discrete curve. The discrete Fourier transform (DFT) is applied to the transformed and resampled 1-D curve, and the Fourier descriptors are used to estimate the boundary of interest. Only a few of the harmonics (low-frequency components) are used for reconstruction of the boundary, and by adjusting the number of harmonics, a good estimation is obtained. The shrink-expand operation is incorporated with the Fourier descriptors to reduce irregularities parts on the boundary and to improve the accuracy of the resulting boundaries.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132039673","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: 9
Comparison of eigenvector-based pattern recognition algorithms for hybrid systems 基于特征向量的混合系统模式识别算法比较
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28288
Q. Tian, Y. Fainman, S. H. Lee
{"title":"Comparison of eigenvector-based pattern recognition algorithms for hybrid systems","authors":"Q. Tian, Y. Fainman, S. H. Lee","doi":"10.1109/ICPR.1988.28288","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28288","url":null,"abstract":"Pattern recognition algorithms based on eigenvalue analysis for hybrid processing (optical-digital computer) are theoretically and experimentally compared. These algorithms consist of the Foley-Sammon (F-S) transform, Hotelling trace criterion (HTC), Fukunaga-Koontz (F-K) transform, linear discriminant function (LDF), and generalized matched filter (GMF). It is shown that all these algorithms can be represented in a generalized eigenvector form, and that they differ in the ways in which they utilize the correlation matrices (F-K) or covariance matrices (F-S, HTC, etc.) to calculate the discriminant vectors. Some methods classify the images, or, instead, features of the images, in a reduced dimension. The above algorithms are tested experimentally by using 20 training images and 10 test images, all with 64*64 pixels.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123113964","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: 0
'Double' subgraph isomorphism method for matching LSI chip images 匹配LSI芯片图像的“双”子图同构方法
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28409
Ji-ren Wang, Jie-gu Li
{"title":"'Double' subgraph isomorphism method for matching LSI chip images","authors":"Ji-ren Wang, Jie-gu Li","doi":"10.1109/ICPR.1988.28409","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28409","url":null,"abstract":"The corresponding relations between two nodes isomorphically matched are searched from the region adjacency graph of segmented chip images. Heuristic information is extracted to improve the searching efficiency in the isomorphism matching. Special criteria of region similarity measure and matching figure of surrounding string are used to select starting nodes of isomorphism matching.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122199201","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: 0
Recent progress in the recognition of objects from range data 基于距离数据的目标识别研究进展
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28178
J. Brady, N. Nandhakumar, J. Aggarwal
{"title":"Recent progress in the recognition of objects from range data","authors":"J. Brady, N. Nandhakumar, J. Aggarwal","doi":"10.1109/ICPR.1988.28178","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28178","url":null,"abstract":"After a brief summary of range acquisition techniques, some of the progress made with three-dimensional data in the field of computer vision is examined. The present state of three-dimensional object recognition using range data is surveyed. Some work involving three-dimensional object recognition using intensity images is also included when it is applicable to, or extendable to, recognition with range data.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121189658","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: 33
A flexible control strategy with multilevel judgements for a knowledge based speech understanding system 基于知识的语音理解系统的柔性多级判断控制策略
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28360
G. Sagerer, U. Ehrlich, F. Kummert, H. Niemann, E. Schukat-Talamazzini
{"title":"A flexible control strategy with multilevel judgements for a knowledge based speech understanding system","authors":"G. Sagerer, U. Ehrlich, F. Kummert, H. Niemann, E. Schukat-Talamazzini","doi":"10.1109/ICPR.1988.28360","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28360","url":null,"abstract":"A flexible control strategy for a speech understanding and dialog system is presented. The system is organized around a homogeneous knowledge base. The used knowledge representation language is based on semantic networks. It does not only cover declarative but also procedural knowledge. The inference processes can be described by five problem-independent rules which form the procedural semantics of the network language. The control strategy itself is the well-known A*-algorithm, but for scoring purposes complex judgement vectors are used. It is shown that these vectors are admissible for the control algorithm and that they reflect the quality, the certainty, and the priority of both bottom-up and top-down hypotheses. So far, the system has been tested in a rough prototype version, and an efficient realization is being built.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116697634","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: 5
The design and implementation of dip arrow plot pattern recognition system 倾斜箭头图模式识别系统的设计与实现
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28333
Shengxi Pan, Jianguo Liu, Jiaxiong Peng, Guangui Wang
{"title":"The design and implementation of dip arrow plot pattern recognition system","authors":"Shengxi Pan, Jianguo Liu, Jiaxiong Peng, Guangui Wang","doi":"10.1109/ICPR.1988.28333","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28333","url":null,"abstract":"Dip logging is a method of well logging. From the raw data obtained by dip logging, a dip arrow plot can be obtained using the relation comparison method of pattern recognition. The data tend to be very much scattered and random. The design principle and method of an expert dip arrow plot pattern recognition system are described. It incorporates a mathematical model method and an artificial intelligence technique. An angle processing algorithm and an ordered sample grouping algorithm are proposed. This system has been implemented on an IBM-PC/XT and on compatible machines. Its classification rate is 98%, obtained by processing 21 data patterns from the Zhongyuan oil field in China.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122921799","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
Curvilinear feature detection from curvature estimation 基于曲率估计的曲线特征检测
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28457
L. O'Gorman
{"title":"Curvilinear feature detection from curvature estimation","authors":"L. O'Gorman","doi":"10.1109/ICPR.1988.28457","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28457","url":null,"abstract":"The DOS/sup +/ method, a particular case of the difference of slopes (DOS) approach, is shown to be effective for estimating curvature in terms of signal detectability. Relationships are established between the DOS/sup +/ parameters and feature parameters to distinguish corner and curve features and to accurately determine the locations of corners, transitions between straight lines and curves, and curve centers. Examples show the results of this method applied to curvilinear features and diagrams.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131151830","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: 37
An automatic road vector extraction method from maps 一种从地图中自动提取道路矢量的方法
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28299
T. Nagao, T. Agui, M. Nakajima
{"title":"An automatic road vector extraction method from maps","authors":"T. Nagao, T. Agui, M. Nakajima","doi":"10.1109/ICPR.1988.28299","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28299","url":null,"abstract":"An automatic road extraction method for 1/25000 scaled maps of Japan is presented. The method is applied to the automatic input of map data in a computer and also to recognition of line drawings. In the first process, the feature points of roads are calculated on the center lines of roads, and short vectors are made by connecting the feature points. Some of the vectors, corresponding to roads, are joined, and others are regarded as noise and removed in subsequent processes. The algorithm of this method is described, and experimental results applied to urban maps are shown.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131162348","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: 15
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