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

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Texture analysis and clustering using the Wigner distribution Wigner分布的纹理分析和聚类
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28354
T. R. Reed, Harry Wechsler
{"title":"Texture analysis and clustering using the Wigner distribution","authors":"T. R. Reed, Harry Wechsler","doi":"10.1109/ICPR.1988.28354","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28354","url":null,"abstract":"Clustering (or grouping), defined as the taxonomy of objects (image regions) into categories based on the similarity 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.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"21 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":"133674952","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: 6
X-ray image processing using fuzzy technology x射线图像处理采用模糊技术
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28342
Yuhua Yao, Weixin Xie, Shanrong Dai, Gang Wu
{"title":"X-ray image processing using fuzzy technology","authors":"Yuhua Yao, Weixin Xie, Shanrong Dai, Gang Wu","doi":"10.1109/ICPR.1988.28342","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28342","url":null,"abstract":"The theory of fuzzy sets is applied to enhance X-ray images. The presented algorithm includes a prior enhancement of the contrast in regions using fuzzy operators along with smoothing in a fuzzy property plane which is extracted from the spatial domain using S, pi , and 1- pi functions. The performance of they system is illustrated by application to an image of human skull.<<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":"130793703","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
Connected filters for noise removal 连接过滤器去除噪音
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28378
T. Lønnestad
{"title":"Connected filters for noise removal","authors":"T. Lønnestad","doi":"10.1109/ICPR.1988.28378","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28378","url":null,"abstract":"A class of filters for edge-preserving noise removal is presented. The basic idea is that to retain connectedness in the filter, the new pixel value is calculated from the values in a local, connected area. The method described is related to the well-known KNN (k-nearest neighbors) method. The filter is shown to behave better than the KNN filter in most situations. The filter is conceptually very simple, and thus simple to use. Its computing efficiency is comparable to that of the KNN filter.<<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":"130826775","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: 7
The research on speech feature representation method and distance measure method 语音特征表示方法和距离测量方法的研究
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28311
Zhou Li, Ditang Fang
{"title":"The research on speech feature representation method and distance measure method","authors":"Zhou Li, Ditang Fang","doi":"10.1109/ICPR.1988.28311","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28311","url":null,"abstract":"A speech feature analysis system, based on a dynamic programming match algorithm, is described. The system evaluates speech feature extraction methods and distance measure methods by two kinds of error-rate: overstep boundary error-rate and nearest neighbor error-rate. By means of the system, the performances of some speech feature representation methods and distance measure methods are evaluated for two different speech sets. The experimental results indicate that cepstrum is the best speech feature and that the relative distance measure methods are the absolute value distance and bandpass weighted cepstral distance methods.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"2 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":"116805746","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
Recent developments of the minimum entropy algorithm 最小熵算法的最新进展
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28285
Satosi Watanabe, T. Kaminuma
{"title":"Recent developments of the minimum entropy algorithm","authors":"Satosi Watanabe, T. Kaminuma","doi":"10.1109/ICPR.1988.28285","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28285","url":null,"abstract":"This work has two purposes: it is a tutorial survey of methods based on the heuristic principle of entropy minimization; and it introduces a novel algorithm IMPAL, that makes possible to decide the class affiliation of a new arrival when multiclass paradigms are given in advance. Two examples are given to demonstrate the relevance of IMPAL.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"48 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":"130980005","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: 14
An intelligent character recognition system with high accuracy and high speed by integrating image-type and logical-type information processings 一种集图像型和逻辑型信息处理于一体的高精度、高速智能字符识别系统
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28167
M. Kimura, T. Ejima, Hirotomo Aso, H. Yashiro, N. Son, M. Suzuki
{"title":"An intelligent character recognition system with high accuracy and high speed by integrating image-type and logical-type information processings","authors":"M. Kimura, T. Ejima, Hirotomo Aso, H. Yashiro, N. Son, M. Suzuki","doi":"10.1109/ICPR.1988.28167","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28167","url":null,"abstract":"An intelligent character recognition system with high accuracy and high speed is realized by integrating image-type and logical-type information processing modules. For image-type information processing, a technique called associative pattern matching is proposed, and its usefulness is verified by experiments. The results show that it is useful for rough classification of input patterns. For logical-type processing, structural analysis of characters is realized by a relaxation matching technique, which is described in detail, and some experimental results are shown. The integration of these two techniques is discussed.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"39 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":"131270322","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
Extraction and recognition of 3-dimensional information by projecting a pair of slit-ray beams 通过对狭缝光束的投影提取和识别三维信息
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28344
K. Nakano, Yasuo Watanabe, S. Kanno
{"title":"Extraction and recognition of 3-dimensional information by projecting a pair of slit-ray beams","authors":"K. Nakano, Yasuo Watanabe, S. Kanno","doi":"10.1109/ICPR.1988.28344","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28344","url":null,"abstract":"A method is presented for extracting 3-D information of an object which has both Lambertian and specular components, such as metals, using a pair of slit-ray beams. Although the traditional slit-ray beam projection method obtains inaccurate distance information using specular slit-ray beam or mirror image, the method proposed solves the problem and calculates not only the position vector but also the normal vector, both of which are sent to the recognition procedure. The intersection points of slit-ray beams coming from two directions are classified by using these vectors, enabling the surfaces of an object to be identified and the outlines of them to be extracted. An experimental system is described that supports the effectiveness of this method.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"30 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":"131529397","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: 10
Using stereo vision analysis to recognize partially obscured objects 利用立体视觉分析识别部分遮挡物体
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28350
Jin-Cheng Li, B. Yuan
{"title":"Using stereo vision analysis to recognize partially obscured objects","authors":"Jin-Cheng Li, B. Yuan","doi":"10.1109/ICPR.1988.28350","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28350","url":null,"abstract":"A method is proposed to recognize and locate the 3-D objects in the hidden case. Accurate camera calibration and the subpixel edge location algorithm is performed to get precise 3-D data. The algorithms for recognition and location contain three stages. First, 3-D data is analyzed to see how many objects are in the scene. In the second stage, the rotational and transitional parameters are determined only by using 3-D contour derived from stereo images to match to the object models. Finally, according to the matched object model and the rotational and translational parameters the visible line drawings are generated and used as a guide for searching correspondent line segments in original stereo image.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"28 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":"132451512","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: 1
Object recognition using relational clique and cycle mappings 使用关系团和循环映射的对象识别
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28230
J. Feng, J. Boyce
{"title":"Object recognition using relational clique and cycle mappings","authors":"J. Feng, J. Boyce","doi":"10.1109/ICPR.1988.28230","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28230","url":null,"abstract":"A procedure is adopted for object recognition that uses the general properties of relations, in particular, their clique and cycle invariance, as a mechanism for pruning the corresponding search trees prior to searching for relational monomorphisms. Relational cliques and cycles represent physical properties of the physical objects are being matched, and hence by judicious choice of the relations utilized, the clique and cycle structures can be extracted concurrently with the features by low-level processing, especially those properties of line segments which can be readily obtained from the Hough space.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"483 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":"132687488","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
Speech formant trajectory pattern recognition using multiple-order pole-focused LPC analysis 基于多阶极点聚焦LPC分析的语音形成峰轨迹模式识别
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28273
G. Duncan, M. Jack
{"title":"Speech formant trajectory pattern recognition using multiple-order pole-focused LPC analysis","authors":"G. Duncan, M. Jack","doi":"10.1109/ICPR.1988.28273","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28273","url":null,"abstract":"A technique termed pole focusing is presented that provides a novel approach to obtained high-resolution formant data for pattern recognition processing of the short-time speech spectrum. The technique offers reliable detection of weak nasal formants and formants undergoing rapid transitions in frequency, areas where parametric spectral analysis typically performs poorly. Much of the recognition of speech using a feature-based approach relies heavily on the detection of formant time-frequency trajectory patterns, which gives the identification not only for the voiced speech sound currently under analysis, but also can provide important cues to pre- and postvocalic speech. The enhanced formant detection properties offered by pole focusing therefore can considerably improve the reliability of formant pattern recognition.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"128 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":"128128408","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
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