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

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Machine-learned contours to assist boundary tracing tasks 机器学习轮廓,以协助边界跟踪任务
S. Crawford-Hines, Charles Anderson
{"title":"Machine-learned contours to assist boundary tracing tasks","authors":"S. Crawford-Hines, Charles Anderson","doi":"10.1109/IAI.1998.666890","DOIUrl":"https://doi.org/10.1109/IAI.1998.666890","url":null,"abstract":"The authors' focus is to assist interactively in the initial segmentation of medical imagery. In near-real-time, from an initial set of pixels traced, the authors' system learns the characteristics of a contour being traced and projects ahead the trace. This paper provides an overview of their approach, presents promising results, and outlines their research directions.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"90 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":"124556232","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
Projection-based methods for hyperspectral image fraction estimation 基于投影的高光谱图像分数估计方法
J. Triscari, A. E. Iverson, P. J. Sementilli, K. West
{"title":"Projection-based methods for hyperspectral image fraction estimation","authors":"J. Triscari, A. E. Iverson, P. J. Sementilli, K. West","doi":"10.1109/IAI.1998.666893","DOIUrl":"https://doi.org/10.1109/IAI.1998.666893","url":null,"abstract":"In this paper, we investigate the issues that arise with the use of large spectral libraries in practical applications of fraction estimation in hyperspectral imaging. We then present a new technique for fraction estimation based on the method of successive projections onto convex sets. Results are presented that demonstrate the ability of this technique to recover information that cannot be recovered using traditional techniques based on linear regression alone.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"537 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":"114739555","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: 2
Compression degradation metrics for analysis of consistency in microcalcification detection 微钙化检测一致性分析的压缩退化指标
O. Kosheleva, J. Arenas, M. Aguirre, C. Mendoza, S. Cabrera
{"title":"Compression degradation metrics for analysis of consistency in microcalcification detection","authors":"O. Kosheleva, J. Arenas, M. Aguirre, C. Mendoza, S. Cabrera","doi":"10.1109/IAI.1998.666856","DOIUrl":"https://doi.org/10.1109/IAI.1998.666856","url":null,"abstract":"The authors motivate, define and illustrate the behavior of four scalar metrics which measure the degree to which microcalcification (/spl mu/uCa++) detection is affected by lossy compression distortion. The JPEG method is used at various compression rates determined by a single parameter. The authors' metrics are specifically targeted to measure the degree of invariance of the processing to the presence of a compression-decompression step and not absolute processing success. The detection of the /spl mu/Ca++s is done with a two-step process of selective median filtering and wavelet domain hard thresholding with saturation. This latter step produces a binary image revealing small structures which are the desired objects in the image. The authors have also chosen to perform the enhancement before the compression step as suggested by their previous work to allow higher compression rates. In the system used to do the comparison, the two branches of processing are identical except for the compression/decompression step and their results are binary images. The inputs to the metric computation system are these two images which produce four scalar metrics which are various percentages of differences in pixel and region activity. Using seven image sections from mammograms, the authors illustrate the results at various compression ratios in the range 28:1 to 42:1 for each image and also averaged over the set of seven. The three pixel based metrics decrease monotonically as the JPEG compression quality parameter increases to reduce the compression ratio. The region based metric does not change monotonically due to the more complex nature of region analysis.","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":"121925355","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
Morphological pyramids for multiscale edge detection 用于多尺度边缘检测的形态金字塔
Wei Chen, S. Acton
{"title":"Morphological pyramids for multiscale edge detection","authors":"Wei Chen, S. Acton","doi":"10.1109/IAI.1998.666874","DOIUrl":"https://doi.org/10.1109/IAI.1998.666874","url":null,"abstract":"In this paper, we present an edge detector that is based on a morphological pyramid (MP) structure. The algorithm utilizes a multiresolution pyramidal structure created by successive morphological filtering and subsampling of the original image. The boundaries detected at coarse scale representations of the morphological pyramid (MP) are used to guide the detection of discontinuities at higher resolution levels. The segmentation and resulting edge detection yielded by the MP is particularly effective in the presence of impulse noise. We provide results that demonstrate superior solution quality over standard fixed resolution detectors and over previous multiresolution approaches. Because of the low computational cost of the MP edge detector, it is suitable for video tracking, image and video compression, and real-time object recognition.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"112 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":"127970491","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: 16
Canonical space representation for recognizing humans by gait and face 基于步态和人脸识别的规范空间表示
P. Huang, Christopher J. Harris, M. Nixon
{"title":"Canonical space representation for recognizing humans by gait and face","authors":"P. Huang, Christopher J. Harris, M. Nixon","doi":"10.1109/IAI.1998.666882","DOIUrl":"https://doi.org/10.1109/IAI.1998.666882","url":null,"abstract":"Eigenspace transformation (EST) based on principal component analysis has been demonstrated to be a potent metric in automatic face recognition and gait analysis, but without using data analysis to increase classification capability. We propose a new approach which combines canonical space transformation (CST) based on canonical analysis, with eigenspace transformation. This method can be used to reduce data dimensionality and to optimize the class separability of different gait sequences or face classes simultaneously. Each image template is projected from a high-dimensional image space to a single point in a low-dimensional canonical space. In this new space the recognition of human gait and faces becomes much simpler and accurate. Experimental results for human gait analysis and face recognition show this new method is superior to applying EST or applying CST alone. As such, the combination of EST and CST is shown to be of considerable advantage in an emerging new biometric.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"61 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":"126596937","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
Combined use of MAP estimation and K-means classifier for speckle noise filtering in SAR images 基于MAP估计和K-means分类器的SAR图像散斑噪声滤波
F. Medeiros, N. Mascarenhas, L. da F Costa
{"title":"Combined use of MAP estimation and K-means classifier for speckle noise filtering in SAR images","authors":"F. Medeiros, N. Mascarenhas, L. da F Costa","doi":"10.1109/IAI.1998.666894","DOIUrl":"https://doi.org/10.1109/IAI.1998.666894","url":null,"abstract":"The main purpose of this work is to study and implement a maximum a posteriori (MAP) filter combined with the K-means algorithm in order to reduce speckle noise in SAR images. The K-means algorithm over Li's (1988) coefficient is used to classify the noisy image in regions of homogenous statistics. This kind of information is used as a guide for choosing the best window size for parameter estimation in the MAP filtering. This paper is based on the multiplicative model for speckle and considers different densities to describe the \"a priori\" knowledge. It suggests a new adaptive filtering algorithm based on the MAP approach and clustering.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"69 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132287424","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
Template construction and matching for identification of cells in differential interference contrast microscope images 差干涉对比显微镜图像中细胞识别的模板构建与匹配
D. Young, Alison Gray
{"title":"Template construction and matching for identification of cells in differential interference contrast microscope images","authors":"D. Young, Alison Gray","doi":"10.1109/IAI.1998.666892","DOIUrl":"https://doi.org/10.1109/IAI.1998.666892","url":null,"abstract":"Template matching, for identification of cells in differential interference contrast (DIC) microscope images by digital image analysis, is complex. This is due to the nature of DIC images, namely an apparent illumination effect across cells in the image. Different cell sizes and orientations cause further complications. Three methods of template construction are proposed for different types of cell, and a successful automatic method for cell counting and sizing is described. These methods compensate for the complexities in the images.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"486 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":"123405340","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
Automated segmentation of surface soil moisture from Landsat TM data 基于Landsat TM数据的地表土壤水分自动分割
J. Bosworth, T. Koshimizu, S. Acton
{"title":"Automated segmentation of surface soil moisture from Landsat TM data","authors":"J. Bosworth, T. Koshimizu, S. Acton","doi":"10.1109/IAI.1998.666862","DOIUrl":"https://doi.org/10.1109/IAI.1998.666862","url":null,"abstract":"This study demonstrates a method for satellite remote sensing of surface soil moisture and the automated segmentation of the acquired imagery. The remote sensing method exploits the relationship between surface radiant temperature, vegetation cover, and surface soil moisture. The segmentation process employs a watershed algorithm applied within a morphological image pyramid. This multi-resolution approach compares favorably to fixed-resolution techniques both in computational cost and feature scalability. Applications of both the remote sensing method and image segmentation technique are demonstrated for a Landsat TM image of southwestern Oklahoma.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"17 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":"127959748","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
Design of a computer vision based tree ring dating system 基于计算机视觉的树木年轮测年系统设计
W. Conner, R. Schowengerdt, M. Munro, M. Hughes
{"title":"Design of a computer vision based tree ring dating system","authors":"W. Conner, R. Schowengerdt, M. Munro, M. Hughes","doi":"10.1109/IAI.1998.666895","DOIUrl":"https://doi.org/10.1109/IAI.1998.666895","url":null,"abstract":"The purpose of this paper is to describe the design and implementation of a computer vision based analysis system for dendrochronology. The issues involved in the detection and analysis of tree rings are not unique to the application, but are likely of interest to anyone developing automated image analysis systems.","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":"122457284","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: 29
Modeling of growth via active contour models 通过活动轮廓模型模拟生长
K.C. Suriamoorthy, A. Bovik
{"title":"Modeling of growth via active contour models","authors":"K.C. Suriamoorthy, A. Bovik","doi":"10.1109/IAI.1998.666857","DOIUrl":"https://doi.org/10.1109/IAI.1998.666857","url":null,"abstract":"The authors analyze the growth of biological specimens with the help of Active Contour Models known as Snakes. Conventional shape-change models like optical flow, deformable templates, etc., primarily address rigid and non-rigid deformations which are not in the form of growth. Moreover the above models assume the shape-change between successive frames in an image sequence to be small which is not true in many real-world biomedical image sequences. The Active Contour Model presented here tracks the boundary of an object as it changes shape and can also predict how the object might change shape. The algorithm is an energy minimization technique which tracks the growth of a specimen by attracting a closed piecewise cubic curve to the boundary of the specimen in every image of a sequence. This method computes shape-change especially when it is in the form of growth-better than techniques like optical flow, deformable templates, etc. Unlike conventional shape-change algorithms, the authors' algorithm can be applied iteratively to compute drastic shape-changes also. The authors also propose a parallel framework to facilitate real-time implementation.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"26 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":"122588373","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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