4th IEEE Southwest Symposium on Image Analysis and Interpretation最新文献

Automated initialization and automated design of border detection criteria in edge-based image segmentation 基于边缘的图像分割中边界检测准则的自动初始化和自动设计

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839565

M. Brejl, M. Sonka

引用次数: 8

Statistical-based deformable models with simultaneous optimization of object gray-level and shape characteristics 同时优化物体灰度和形状特征的基于统计的可变形模型

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839578

S. Gleason, M. Paulus, Dabney K. Johnson, H. Sari-Sarraf, M. Abidi

{"title":"Statistical-based deformable models with simultaneous optimization of object gray-level and shape characteristics","authors":"S. Gleason, M. Paulus, Dabney K. Johnson, H. Sari-Sarraf, M. Abidi","doi":"10.1109/IAI.2000.839578","DOIUrl":"https://doi.org/10.1109/IAI.2000.839578","url":null,"abstract":"A statistical-based deformable model is being developed that improves upon existing point distribution models (PDM). Existing PDM boundary finding techniques often suffer from the following shortcomings: (1) global shape and gray-level information are treated independently during boundary optimization; (2) a priori local shape characteristics are not utilized; and (3) there is no existing metric that provides a confidence measure of segmentation performance. A new deformable model algorithm is under development in which the objective function used during optimization of the boundary encompasses several important characteristics. First the objective function includes both global shape and local gray-level characteristics, so optimization occurs with respect to both pieces of information simultaneously. In addition, local shape characteristics, as derived from the training set, are also incorporated into the boundary finding process. Finally, the objective function is formulated in a way that leads directly to a confidence metric that indicates how well the final boundary fits the underlying object as defined in the target image, This new algorithm is being applied to high-resolution X-ray computed tomography (CT) images of laboratory mice for the purposes of abdominal structure (primarily kidney) identification. Preliminary results are shown for mouse kidney and spine segmentation.","PeriodicalId":224112,"journal":{"name":"4th IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122253037","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

A spectral-imaging system and algorithms for recovering spectral functions 一种光谱成像系统及光谱函数恢复算法

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839616

S. Tominaga, R. Okajima

引用次数: 5

Warping with optimized weighting factors of displacement vectors-a new method to reduce inter-individual variations in brain imaging 基于位移矢量优化加权因子的脑成像扭曲——一种减少个体间脑成像差异的新方法

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839612

R. Pielot, E. Gundelfinger, A. Hess, Michael Scholz, K. Obermayer

引用次数: 2

Lower-level and higher-level approaches to content-based image retrieval 基于内容的图像检索的低级和高级方法

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839599

Qasim Iqbal, J. Aggarwal

{"title":"Lower-level and higher-level approaches to content-based image retrieval","authors":"Qasim Iqbal, J. Aggarwal","doi":"10.1109/IAI.2000.839599","DOIUrl":"https://doi.org/10.1109/IAI.2000.839599","url":null,"abstract":"This paper describes a content-based image retrieval system that employs both higher-level and lower-level vision methodologies separately and in conjunction the retrieval of images containing large man-made objects. The goal is to use the lower-level analysis module to increase the capability of the higher-level analysis module, for queries where the structure exhibited by the manmade objects is important. Higher-level analysis is performed globally to extract structure by employing the elements of perceptual grouping to extract different shape representations for higher-level feature extraction from primitive image features. The shape representations include \"L\" junctions, \"U\" junctions and parallel groups. Lower-level analysis is performed globally by using Gabor filters to extract texture features. A man-made object region of interest extracted by using perceptual grouping is used as a frame for conducting lower-level analysis. Lower-level analysis may be performed without confinement to the region of interest, i.e., over the whole image. A channel energy model is utilized to extract lower-level feature vectors consisting of fractional energies in various spatial channels. The image database consists of monocular grayscale outdoor images taken from a ground-level camera.","PeriodicalId":224112,"journal":{"name":"4th IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134231384","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: 18

Efficient indexing of multi-color sets for content-based image retrieval 基于内容的图像检索中多颜色集的高效索引

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839583

P. A. Mlsna, Jeffrey J. Rodríguez

引用次数: 8

Seat occupation detection inside vehicles 车内座位占用检测

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839597

P. Faber

引用次数: 16

Modulation domain image segmentation 调制域图像分割

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839569

T. Tangsukson, J. Havlicek

引用次数: 4

Overcomplete image representations and locally best model selection 图像的过完备表示和局部最优模型选择

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839573

Y. Wan, R. Nowak

引用次数: 0

On the representation of wideband images using permutations for lossless coding 用排列表示的宽带图像无损编码

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839607

M. Pattichis, A. Bovik, John W. Havlicek, N. Sidiropoulos

引用次数: 4