2006 19th Brazilian Symposium on Computer Graphics and Image Processing最新文献_第2页

Plausible Image Based Soft Shadows Using Occlusion Textures 合理的图像为基础的软阴影使用遮挡纹理

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.35

E. Eisemann, Xavier Décoret

引用次数: 20

Actively Illuminated Objects using Graph-Cuts 使用图形切割的主动照明对象

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.5

A. Sá, M. Vieira, A. Montenegro, P. Carvalho, L. Velho

引用次数: 5

Duality between the Watershed by Image Foresting Transform and the Fuzzy Connectedness Segmentation Approaches 图像森林变换分水岭与模糊连通性分割方法的对偶性

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.14

Romaric Audigier, R. Lotufo

引用次数: 19

Determining the branchings of 3D structures from respective 2D projections 从各自的2D投影确定3D结构的分支

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.12

J. Leandro, R. M. C. Junior, L. Costa

{"title":"Determining the branchings of 3D structures from respective 2D projections","authors":"J. Leandro, R. M. C. Junior, L. Costa","doi":"10.1109/SIBGRAPI.2006.12","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2006.12","url":null,"abstract":"This work describes a new framework for automatic extraction of 2D branching structures images obtained from 3D shapes, such as neurons and retinopathy images. The majority of methods for neuronal cell shape analysis that are based on the 2D contours of cells fall short of properly characterizing such cells because crossings among neuronal processes constrain the access of contour following algorithms to the innermost regions of the cell. The framework presented in this article addresses, possibly for the first time, the problem of determining the continuity along crossings, therefore granting to the contour following algorithm full access to all processes of the neuronal cell under analysis. First, the raw image is preprocessed so as to obtain an 8-connected, one-pixel wide skeleton as well as a set of seed pixels for each subtree and all the branching/crossing regions. Then, for each seed pixel, the algorithm labels all valid neighbors, until a branching/crossing region is reached, when a decision about the proper continuation is taken based on the tangent continuity. The algorithm has shown robustness for images with parallel segments and low densities of branching/crossing densities. The problem of too high densities of branching/crossing regions can be addressed by using a suitable data structure. Successful experimental results using real data (neural cell images) are presented","PeriodicalId":253871,"journal":{"name":"2006 19th Brazilian Symposium on Computer Graphics and Image Processing","volume":" 40","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113952926","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

Interpolation of Computerized Tomography Slices using 3D Digital Inpainting 利用三维数字图象绘制的计算机断层扫描切片插值

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.28

Sandrerley Ramos Pires, E. L. Flôres, C. Barcelos, M. A. Batista

引用次数: 1

Subspace Hierarchical Particle Filter 子空间层次粒子滤波

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.42

B. C. Brandao, Jacques Wainer, S. Goldenstein

引用次数: 20

A scaled morphological toggle operator for image transformations 用于图像转换的缩放形态学切换算子

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.2

N. J. Leite, L. Dorini

引用次数: 12

Music Icons: Procedural Glyphs for Audio Files 音乐图标:音频文件的程序符号

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.30

Philipp Kolhoff, Jacqueline Preuß, J. Loviscach

引用次数: 23

Parabolic Polygons and Discrete Affine Geometry 抛物多边形和离散仿射几何

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.32

M. Craizer, T. Lewiner, J. Morvan

引用次数: 7

Non-Extensive Entropy for CAD Systems of Breast Cancer Images 乳腺癌图像CAD系统的非扩展熵

2006 19th Brazilian Symposium on Computer Graphics and Image Processing Pub Date : 2006-12-11 DOI: 10.1109/SIBGRAPI.2006.31

P. Rodrigues, R. Chang, J. Suri

{"title":"Non-Extensive Entropy for CAD Systems of Breast Cancer Images","authors":"P. Rodrigues, R. Chang, J. Suri","doi":"10.1109/SIBGRAPI.2006.31","DOIUrl":"https://doi.org/10.1109/SIBGRAPI.2006.31","url":null,"abstract":"Recent statistics show that breast cancer is a major cause of death among women in all of the world. Hence, early diagnostic with computer aided diagnosis (CAD) systems is a very important tool. This task is not easy due to poor ultrasound resolution and large amount of patient data size. Then, initial image segmentation is one of the most important and challenging task. Among several methods for medical image segmentation, the use of entropy for maximization the information between the foreground and background is a well known and applied technique. But, the traditional Shannon entropy fails to describe some physical systems with characteristics such as long-range and longtime interactions. Then, a new kind of entropy, called non-extensive entropy, has been proposed in the literature for generalizing the Shannon entropy. In this paper, we propose the use of non-extensive entropy, also called q-entropy, applied in a CAD system for breast cancer classification in ultrasound of mammographic exams. Our proposal combines the non-extensive entropy, a level set formulation and a support vector machine framework to achieve better performance than the current literature offers. In order to validate our proposal, we have tested our automatic protocol in a data base of 250 breast ultrasound images (100 benign and 150 malignant). With a cross-validation protocol, we demonstrate system's accuracy, sensitivity, specificity, positive predictive value and negative predictive value as: 95%, 97%, 94%, 92% and 98%, respectively, in terms of ROC (receiver operating characteristic) curves and Az areas","PeriodicalId":253871,"journal":{"name":"2006 19th Brazilian Symposium on Computer Graphics and Image Processing","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121845440","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: 40