{"title":"An approach to the segmentation of textured dynamic scenes","authors":"S.N Jayaramamurthy, Ramesh Jain","doi":"10.1016/0146-664X(82)90050-8","DOIUrl":"10.1016/0146-664X(82)90050-8","url":null,"abstract":"","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"20 2","pages":"Page 197"},"PeriodicalIF":0.0,"publicationDate":"1982-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90050-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130976245","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}
{"title":"Image segmentation using simple Markov field models","authors":"F.R Hansen, H Elliott","doi":"10.1016/0146-664X(82)90040-5","DOIUrl":"https://doi.org/10.1016/0146-664X(82)90040-5","url":null,"abstract":"<div><p>By modelling a picture as a two-state Markov field, MAP estimation techniques are used to develop suboptimal but computationally tractable binary segmentation algorithms. The algorithms are shown to perform well at low signal-to-noise ratios, and analytical procedures are developed for estimating the Markov field transition probabilities. In addition, extensions of this approach to the multispectral and multiregion cases are discussed.</p></div>","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"20 2","pages":"Pages 101-132"},"PeriodicalIF":0.0,"publicationDate":"1982-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90040-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137441731","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}
{"title":"A spatio-temporal gradient method for estimating the displacement field in time-varying imagery","authors":"R Paquin, E Dubois","doi":"10.1016/0146-664X(82)90048-X","DOIUrl":"10.1016/0146-664X(82)90048-X","url":null,"abstract":"","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"20 2","pages":"Page 197"},"PeriodicalIF":0.0,"publicationDate":"1982-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90048-X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128370282","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}
{"title":"An asynchronous thinning algorithm","authors":"Theo Pavlidis","doi":"10.1016/0146-664X(82)90041-7","DOIUrl":"https://doi.org/10.1016/0146-664X(82)90041-7","url":null,"abstract":"<div><p>A problem common to many areas of pictorial information processing is the transformation of a bilevel (two-color) image into a line drawing. The first step in such a process is discussed: transformation of the bilevel image into another bilevel image that is “thin.” An algorithm is proposed that can be implemented in either parallel or sequential fashion, and therefore is suitable for a mixed operation where a group of processors operate in parallel with each one examining sequentially the pixels of a part of the image assigned to it. It is possible to process images in pieces and thin correctly parts that are intersected by the dividing lines. Therefore, the method can be used on large images, such as maps and engineering drawings. The algorithm may also be run with certain options that label the thinned image so that exact reconstruction of the original is possible.</p></div>","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"20 2","pages":"Pages 133-157"},"PeriodicalIF":0.0,"publicationDate":"1982-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90041-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137441732","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}
{"title":"Application of the one-dimensional fourier transform for tracking moving objects in noisy environments","authors":"Sarah A Rajala, Alfy N Riddle, Wesley E Snyder","doi":"10.1016/0146-664X(82)90054-5","DOIUrl":"https://doi.org/10.1016/0146-664X(82)90054-5","url":null,"abstract":"","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"20 2","pages":"Page 198"},"PeriodicalIF":0.0,"publicationDate":"1982-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90054-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136510410","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}
{"title":"The detection of unresolved targets using the hough transform","authors":"Alan E Cowart, Wesley E Snyder, W Howard Ruedger","doi":"10.1016/0146-664X(82)90051-X","DOIUrl":"https://doi.org/10.1016/0146-664X(82)90051-X","url":null,"abstract":"","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"20 2","pages":"Pages 197-198"},"PeriodicalIF":0.0,"publicationDate":"1982-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90051-X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136547385","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}
{"title":"Edge detection using charge analogy","authors":"I.K Sethi","doi":"10.1016/0146-664X(82)90044-2","DOIUrl":"https://doi.org/10.1016/0146-664X(82)90044-2","url":null,"abstract":"<div><p>In this paper a technique based on a charge analogy is presented for the design of edge detectors in various sizes. Using this analogy, an extended version of the Roberts cross operator is derived. The results of an edge-detection experiment on two digital pictures are also presented.</p></div>","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"20 2","pages":"Pages 185-195"},"PeriodicalIF":0.0,"publicationDate":"1982-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90044-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136585256","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}
{"title":"Algorithms for smoothing data with periodic and parametric splines","authors":"P Dierckx","doi":"10.1016/0146-664X(82)90043-0","DOIUrl":"https://doi.org/10.1016/0146-664X(82)90043-0","url":null,"abstract":"<div><p>This paper deals with the problem of fitting splines to measured data which either describe a periodic function or some parametric curve, closed, or otherwise. Algorithms are presented which are extensions of an existing semiautomatic curve fitting algorithm. The knots of the splines are chosen automatically but a single parameter is expected to control the tradeoff between closeness of fit and smoothness of fit. The user will interactively change this smoothing factor and examine the corresponding curve graphically, until he can accept the result as satisfactory. Numerical and practical examples illustrate the accuracy of the algorithms and their applicability in image processing and related fields.</p></div>","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"20 2","pages":"Pages 171-184"},"PeriodicalIF":0.0,"publicationDate":"1982-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90043-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137441729","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}
{"title":"Some properties of stochastic labeling procedures","authors":"Tommy Elfving, Jan-Olof Eklundh","doi":"10.1016/0146-664X(82)90042-9","DOIUrl":"https://doi.org/10.1016/0146-664X(82)90042-9","url":null,"abstract":"<div><p>In the paper an optimization model for stochastic labeling is formulated and the first-order Kuhn-Tucker conditions of the model are derived. The nonzero fixed points of the relaxation scheme by Rosenfeld, Hummel, and Zucker are then characterized in terms of these conditions. Further a local convergence result is presented and proved and the use of the relaxation scheme for optimization is discussed.</p></div>","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"20 2","pages":"Pages 158-170"},"PeriodicalIF":0.0,"publicationDate":"1982-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90042-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137441730","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}