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

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A new approach of vector quantization for image data compression and texture detection 一种新的图像数据压缩和纹理检测的矢量量化方法
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28484
L. Cohen
{"title":"A new approach of vector quantization for image data compression and texture detection","authors":"L. Cohen","doi":"10.1109/ICPR.1988.28484","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28484","url":null,"abstract":"A method of image data compression based on vector quantization (VQ) is described. Instead of quantizing blocks of the image by the vectors, the vectors are first rescaled to be the closest to the block. The most representative patterns of the image are sought, with two blocks having the same pattern if they are similar after a scaling. A method of VQ is introduced using a smaller image which captures all the useful information instead of separated quanta. This can be applied to picture encoding and texture detection.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"8 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":"132177701","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
Semiautomatic classification of secondary healing ulcers in multispectral images 多光谱图像中继发性愈合溃疡的半自动分类
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28266
J. Arnqvist, J. Hellgren, J. Vincent
{"title":"Semiautomatic classification of secondary healing ulcers in multispectral images","authors":"J. Arnqvist, J. Hellgren, J. Vincent","doi":"10.1109/ICPR.1988.28266","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28266","url":null,"abstract":"Close-up color photographs of the wounds were used as imput. The interesting areas were marked by the operator, creating a binary image. According to the severity of the wound, one of the trained classifiers was selected. The digital picture was classified and combined with the binary image, giving the qualitative (proportion necroses/fibrin and granulation) and the quantitative (wound size) parameters. In this way the time for analyzing a large number of wound photographs was substantially reduced. The method has been programmed in Pascal on the IMTEC Epsilon image processing system.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"57 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":"128848552","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: 26
Extraction of object features from image and its application to image retrieval 图像中目标特征提取及其在图像检索中的应用
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28420
A. Yamamoto, M. Takagi
{"title":"Extraction of object features from image and its application to image retrieval","authors":"A. Yamamoto, M. Takagi","doi":"10.1109/ICPR.1988.28420","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28420","url":null,"abstract":"A retrieval method using the so-called layout structure is proposed. The layout structure is one of two-dimensional visual features that are peculiar to the image data, and is obtained only when human beings perceive the image contents. The description scheme and the extraction procedure of the structural information are described. Some experimental results are also presented.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"19 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":"134645651","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: 8
Model-based matching using skewed symmetry information 使用歪斜对称信息的基于模型的匹配
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28435
W. Oh, M. Asada, S. Tsuji
{"title":"Model-based matching using skewed symmetry information","authors":"W. Oh, M. Asada, S. Tsuji","doi":"10.1109/ICPR.1988.28435","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28435","url":null,"abstract":"A model-based approach is proposed for recovering the 3-D position of a symmetrical polygon in the models from its single image. First, a Hough-type voting method detects skewed symmetry in the image. Matching of the skewed symmetry axis to symmetry axes of models then makes both selection of models and recovering their orientation easy. The method is shown to possess robustness of matching from occlusion.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"6 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":"115792745","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: 23
The signed Euclidean distance transform and its applications 符号欧几里得距离变换及其应用
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28276
Q. Ye
{"title":"The signed Euclidean distance transform and its applications","authors":"Q. Ye","doi":"10.1109/ICPR.1988.28276","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28276","url":null,"abstract":"The signed Euclidean distance transform described is a modified version of P.E. Danielsson's Euclidean distance transform (1980). The distance transform produces a distance map in which each pixel is a vector of two integer components. If a distance map is created inside the objects, the two integer values of a pixel in the distance map represent the displacements of the pixel from the nearest background point in the x and y directions, respectively. The unique feature of this distance transform, that a vector in the distance map is always pointing to the nearest background point, is exploited in several applications, such as the detection of dominant point in digital curves, curve smoothing, computing Dirichlet tessellations and finding convex hulls.<<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":"114466233","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: 116
Online hand-drawn line-figure recognition and its application 在线手绘线图识别及其应用
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28461
H. Kojima, Tohru Toida
{"title":"Online hand-drawn line-figure recognition and its application","authors":"H. Kojima, Tohru Toida","doi":"10.1109/ICPR.1988.28461","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28461","url":null,"abstract":"An efficient online hand-drawn line-figure recognition method called the adjacent strokes structure analysis method (ASSAM) is described. ASSAM is interactive, using adjacent-stroke features and is independent of how the figures are drawn. Several recognition experiments for hand-drawn line-figures confirm that ASSAM has a high recognition rate. This work also describes an integrated system using ASSAM, an online handwritten character-recognition method and an online text/figure editing method by handwritten instructions.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"62 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":"114804449","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
Fast algorithms for low-level vision 低层次视觉的快速算法
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28260
R. Deriche
{"title":"Fast algorithms for low-level vision","authors":"R. Deriche","doi":"10.1109/ICPR.1988.28260","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28260","url":null,"abstract":"A computationally efficient recursive filtering structure is presented for smoothing and, calculating the first and second directional derivatives and the Laplacian of an image with a fixed number of operations per output element, independently of the size of the neighborhood considered. It is shown how the recursive approach results on an implementation of low-level vision algorithms that is very efficient in terms of computational effort and how it renders the use of multiresolution techniques very attractive. Applications to edge detection problem are considered, and a novel edge detector allowing zero-crossings of an image, to be extracted with only 14 operations per output element at any resolution is provided. The algorithms have been tested for indoor scenes and noisy images and gave very good results for all of them.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"518 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":"116247103","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: 617
Determining vanishing point and camera parameter: new approaches 确定消失点和相机参数的新方法
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28263
G. Wei, Zhen-Ya He
{"title":"Determining vanishing point and camera parameter: new approaches","authors":"G. Wei, Zhen-Ya He","doi":"10.1109/ICPR.1988.28263","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28263","url":null,"abstract":"An algebraic and heuristic method for finding the vanishing point is presented. The triple line method used for the algebraic part does not need vote counting, accurate locating of edges, or special camera geometry. In the heuristic part, the mask-table technique filters out the vertice-included three-line groups, while angle-guided search avoids unlikely line combinations. The algebraic part saves storage, while the heuristic part reduces the amount of computation. A very simple and intuitive method for finding the camera parameter is presented.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"9 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":"116385554","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: 8
Feature selection based on some homogeneity coefficient 基于均匀性系数的特征选择
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28287
L. Bobrowski
{"title":"Feature selection based on some homogeneity coefficient","authors":"L. Bobrowski","doi":"10.1109/ICPR.1988.28287","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28287","url":null,"abstract":"The homogeneity coefficient Phi /sup *//sub k/, described is an L/sub 1/-type criterion that can be used in measuring the degree of linear dependence among some measurements. Properties of the criterion Phi /sup *//sub k/ are analyzed. A feature selection procedure based on the coefficient Phi /sup *//sub k/ is described. Maps based on both the perception-criterion function and the homogeneity coefficients are used in the interactive computer system of diagnosis support, Hepar. This system is presently implemented on IBM PC and is to be used in the Clinic Gastroenterology in Warsaw.<<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":"123936851","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
Attributed conditional L-systems: a tool for image description 属性条件l系统:一个图像描述工具
[1988 Proceedings] 9th International Conference on Pattern Recognition Pub Date : 1988-11-14 DOI: 10.1109/ICPR.1988.28305
P. Mussio, M. Padula, M. Protti
{"title":"Attributed conditional L-systems: a tool for image description","authors":"P. Mussio, M. Padula, M. Protti","doi":"10.1109/ICPR.1988.28305","DOIUrl":"https://doi.org/10.1109/ICPR.1988.28305","url":null,"abstract":"The problem addressed in this work is the construction of a description of a digital image using a kind of parallel rewriting system, the conditional attributed L-system. To this end, descriptions of digital images and digital structures are first defined. Then, attributed conditional L-systems capable of parallel rewriting are introduced. These systems are concise and readable, and their suitability for image description is shown by an example. Advantages and disadvantages of their use are discussed.<<ETX>>","PeriodicalId":314236,"journal":{"name":"[1988 Proceedings] 9th International Conference on Pattern Recognition","volume":"57 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":"125964872","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: 31
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