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1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)最新文献

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Wideband frequency excursions in computed AM-FM image models 计算AM-FM图像模型中的宽带频率漂移
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666887
J. Havlicek, D. S. Harding, N. D. Mamuya, A. Bovik
{"title":"Wideband frequency excursions in computed AM-FM image models","authors":"J. Havlicek, D. S. Harding, N. D. Mamuya, A. Bovik","doi":"10.1109/IAI.1998.666887","DOIUrl":"https://doi.org/10.1109/IAI.1998.666887","url":null,"abstract":"We examine two paradigms for computing multicomponent AM-FM image models. In channelized components analysis, estimates for one AM-FM component are extracted from each channel of a multiband filterbank. Tracked multi-component analysis represents an image using fewer components by tracking the estimated modulating functions of each component across the filter bank channels. While both approaches work well for synthetic images, they have difficulty with natural images that contain phase discontinuities. We show that phase discontinuities lead to wideband frequency excursions that make the computation of AM-FM models difficult and can also severely degrade the quality of image reconstructions obtained from the models. We use postfilters to ameliorate the effects of the frequency excursions and compute AM-FM models for two natural images.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129168102","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
Connected skeletons from 3D distance transforms 连接骨架从3D距离变换
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666881
D. Capson, A. Fung
{"title":"Connected skeletons from 3D distance transforms","authors":"D. Capson, A. Fung","doi":"10.1109/IAI.1998.666881","DOIUrl":"https://doi.org/10.1109/IAI.1998.666881","url":null,"abstract":"An algorithm for generating connected skeletons of binary regions in volumetric images is presented. The method is based on a 3D distance transformation which may be computed in two passes through the input image voxels. We introduce the concept of rings and satellites for the identification of 3D saddle points in the distance transformed image which are used to ensure connectivity in the skeleton.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123094977","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
Hierarchical classification of SAR data using a Markov random field model 利用马尔科夫随机场模型对SAR数据进行分层分类
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666864
Melba M. Crawford, M. R. Ricard
{"title":"Hierarchical classification of SAR data using a Markov random field model","authors":"Melba M. Crawford, M. R. Ricard","doi":"10.1109/IAI.1998.666864","DOIUrl":"https://doi.org/10.1109/IAI.1998.666864","url":null,"abstract":"A general framework is presented for classifying coastal environments using synthetic aperture radar (SAR) data. This framework addresses two main issues associated with the accurate classification of SAR data: 1) the variability in radar backscatter of a given pixel caused by the presence of speckle in the imagery and 2) the characteristic decrease in intensity as a function of incidence angle. To combat the effect of speckle on a given pixel's backscatter, a Markov random field (MRF) model is used to incorporate contextual information from the imagery by considering neighbor pixel statistics in the classification process. To address the class-specific backscatter as a function of angle, a two-level classifier is considered to compensate for the highly variable water class and the less influenced land classes. Preliminary results are shown from the hierarchical MRF-based classifier and are compared to single level MRF and radial basis function (RBF) classifiers. For the test site presented, classification accuracy only improves slightly in using the hierarchical architecture, but does show the potential for application to coastal areas with larger percentages of upland and urban land cover types.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125726413","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
Systolic algorithm for processing RLE images 处理RLE图像的收缩算法
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666872
Hao Feng, F. Erçal, F. Bunyak
{"title":"Systolic algorithm for processing RLE images","authors":"Hao Feng, F. Erçal, F. Bunyak","doi":"10.1109/IAI.1998.666872","DOIUrl":"https://doi.org/10.1109/IAI.1998.666872","url":null,"abstract":"Image difference operation is commonly used in on-line automated printed circuit board (PCB) inspection systems as well as many other image processing applications. In this paper, we describe a new systolic algorithm and its system architecture which computes image differences in run-length encoded (RLE) format. The efficiency of this operation greatly affects the overall performance of the inspection system. It is shown that, for images with a high similarity measure, the time complexity of the systolic algorithm is a small constant. A formal proof of correctness for the algorithm is also given in the paper.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131017529","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
High-scale edge study for segmentation and contour closing in textured or noisy images 用于纹理或噪声图像分割和轮廓闭合的高尺度边缘研究
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666869
F. Huet, S. Philipp
{"title":"High-scale edge study for segmentation and contour closing in textured or noisy images","authors":"F. Huet, S. Philipp","doi":"10.1109/IAI.1998.666869","DOIUrl":"https://doi.org/10.1109/IAI.1998.666869","url":null,"abstract":"When they are used in a high-scale way, the edge detectors based on Canny's approach provide edges which are well localized in non-noisy and non-textured areas of the image, but which are too numerous in other areas. The aim of this paper is to study these high-scale edges, especially their local density. High-scale edges are studied by the way of features which characterize various situations such as texture areas, contours corresponding to object frontiers with or without noise. Such features may even characterize various textures. These features may be used to build a map of textured/noisy areas and then to perform a segmentation method cooperation. Another application is the contour closing, using distances between textures.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127502230","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
Morphological and related image processing techniques for the detection of microcalcifications in mammographic images 乳腺摄影图像中微钙化检测的形态学及相关图像处理技术
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666855
C. M. Smith, S. R. Nelson, S.M. Tuovilla
{"title":"Morphological and related image processing techniques for the detection of microcalcifications in mammographic images","authors":"C. M. Smith, S. R. Nelson, S.M. Tuovilla","doi":"10.1109/IAI.1998.666855","DOIUrl":"https://doi.org/10.1109/IAI.1998.666855","url":null,"abstract":"This paper describes a simple technique for locating microcalcifications in digital mammograms. These methods use the fact that many smoothing techniques are never applied to mammograms as they erase the important features. This is turned to an advantage by subtracting the smoothed image from the original, thus leaving only the important features. A variety of smoothers and enhancers are applied to two image data sets, and the results reported.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121133142","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
The moires of circles 圆的云纹
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666870
L. Tougne
{"title":"The moires of circles","authors":"L. Tougne","doi":"10.1109/IAI.1998.666870","DOIUrl":"https://doi.org/10.1109/IAI.1998.666870","url":null,"abstract":"This paper deals with the moire effects that are observed when we draw, on a computer screen, the family of all the concentric circles of integer radius less or equal to R with R efficiently large. The goal of this article is to give an explanation of the phenomenon using the fact that the circles that are drawn on a screen are not real ones but \"discrete ones\".","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122205927","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
Color image segmentation using multi-scale clustering 基于多尺度聚类的彩色图像分割
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666875
N. Kehtarnavaz, J. Monaco, J. Nimtschek, A. Weeks
{"title":"Color image segmentation using multi-scale clustering","authors":"N. Kehtarnavaz, J. Monaco, J. Nimtschek, A. Weeks","doi":"10.1109/IAI.1998.666875","DOIUrl":"https://doi.org/10.1109/IAI.1998.666875","url":null,"abstract":"The use of clustering in color image segmentation poses two distinct problems: (a) equal distances throughout a color space may not be perceived equally by the human visual system, and (b) the number of color clusters must be predetermined. This paper describes a color clustering method that resolves these problems. The first problem is addressed by operating in the nonlinear, geodesic chromaticity space where color shifts are nearly uniform. The second problem is remedied by utilizing a newly developed multi-scale clustering algorithm. This algorithm determines the prominent numbers of color clusters via an objective measure named lifetime. The obtained segmentation results indicate that this color segmentation approach identifies the prominent color structures or objects in a color image.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129031967","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: 19
Texture defect detection using subband domain co-occurrence matrices 基于子带域共现矩阵的纹理缺陷检测
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666886
Ahmet Latif Amet, I. Ertüzün, Aytul Ercil
{"title":"Texture defect detection using subband domain co-occurrence matrices","authors":"Ahmet Latif Amet, I. Ertüzün, Aytul Ercil","doi":"10.1109/IAI.1998.666886","DOIUrl":"https://doi.org/10.1109/IAI.1998.666886","url":null,"abstract":"In this paper, a new defect detection algorithm for textured images is presented. The algorithm is based on the subband decomposition of gray level images through wavelet filters and extraction of the co-occurrence features from the subband images. Detection of defects within the inspected texture is performed by partitioning the textured image into non-overlapping subwindows and classifying each subwindow as defective or nondefective with a mahalanobis distance classifier being trained on defect free samples a priori. The experimental results demonstrating the use of this algorithm for the visual inspection of textile products obtained from the real factory environment are also presented.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114542313","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: 41
VIMOS: a video mosaic for spatio-temporal representation of visual information VIMOS:用于视觉信息时空表示的视频拼接
1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI: 10.1109/IAI.1998.666851
K. Candan, F. Golshani, S. Panchanathan, Y. Park
{"title":"VIMOS: a video mosaic for spatio-temporal representation of visual information","authors":"K. Candan, F. Golshani, S. Panchanathan, Y. Park","doi":"10.1109/IAI.1998.666851","DOIUrl":"https://doi.org/10.1109/IAI.1998.666851","url":null,"abstract":"The capability of extracting critical information from a live video signal and presenting it to end-users in an easy-to-grasp form is essential in many application domains, including GIS, intelligence, surveillance, and manufacturing. We outline on the development of methods and algorithms that are necessary for real-time analysis of video data, both in compressed or uncompressed domains, the generation of visual icons that embody the characteristics of the objects of interest (say enemy craft, main actor, star player, etc.) and presentation of the panoramic spatio-temporal view of the entire scene in the form of video mosaics.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123741580","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
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