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	Browse All Reviews > Computing Methodologies (I) > Image Processing And Computer Vision (I.4) > Segmentation (I.4.6)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 92 Reviews about "Segmentation (I.4.6)": Date Reviewed   Placenta maps: in utero placental health assessment of the human fetus Miao H., Mistelbauer G., Karimov A., Alansary A., Davidson A., Lloyd D., Damodaram M., Story L., Hutter J., Hajnal J., Rutherford M., Preim B., Kainz B., Groller M. IEEE Transactions on Visualization and Computer Graphics 23(6): 1612-1623, 2017.  Type: Article Miao et al. describe an in utero procedure for generating placenta maps. Typically, the placenta is evaluated ex vivo by placing it on a flat table and assessing its structure.... Sep 19 2017   Brain tumor segmentation from multimodal magnetic resonance images via sparse representation Li Y., Jia F., Qin J. Artificial Intelligence in Medicine 731-13, 2016.  Type: Article The segmentation of brain tumors in magnetic resonance imaging (MRI) is clearly not only an important image processing task, but one in which the achievement of high accuracy can be life-changing for many. Although MRIs are performed i... Jul 13 2017   Efficient high-dimensional, edge-aware filtering Gastal E. IEEE Computer Graphics and Applications 36(6): 86-95, 2016.  Type: Article When images and videos are not aesthetically pleasing, human viewers stop in the middle and go elsewhere on the web for a better viewing experience. One main reason is the transitions between objects (edges) are blurred or not distinct... Feb 28 2017   Efficient 3D object segmentation from densely sampled light fields with applications to 3D reconstruction Yücer K., Sorkine-Hornung A., Wang O., Sorkine-Hornung O. ACM Transactions on Graphics (TOG) 35(3): 1-15, 2016.  Type: Article To segment a static foreground object from a highly cluttered background in an image can be tricky. But how about using an image sequence? Is it true that the more images we have, the better we can do? This paper shows that a considera... Jul 27 2016    Unsupervised regions based segmentation using object discovery Yang B., Yu H., Hu R. Journal of Visual Communication and Image Representation 31(C): 125-137, 2015.  Type: Article Delineating a prominent object in an image by computer is an important step toward fully automated image analysis. This segmentation problem has been elusive and no viable solution has been found. A recent trend is to provide multiple ... Jan 12 2016   Extracting flow features via supervised streamline segmentation Li Y., Wang C., Shene C. Computers and Graphics 52(C): 79-92, 2015.  Type: Article This paper presents a semi-automatic streamline segmentation algorithm, which can be used to identify user-specified features from a streamline soup. The pipeline first clusters the streamlines into groups, and the user needs to manual... Dec 14 2015   Shape segmentation by hierarchical splat clustering Zhang H., Li C., Gao L., Li S., Wang G. Computers and Graphics 51(C): 136-145, 2015.  Type: Article Shape segmentation is a very important topic in shape analysis. In this paper, a novel hierarchical shape segmentation method based on splats for 3D shapes is proposed for both patch-aware and part-aware purposes.... Oct 14 2015   Image segmentation via image decomposition and fuzzy region competition Li Y. Journal of Visual Communication and Image Representation 30(C): 328-342, 2015.  Type: Article Image segmentation is a fundamental process in most image processing, pattern recognition, and computer vision applications. It separates the desired objects from the set of desired and undesired objects in an image. This paper present... Sep 2 2015    Globally optimal joint image segmentation and shape matching based on Wasserstein modes Schmitzer B., Schnörr C. Journal of Mathematical Imaging and Vision 52(3): 436-458, 2015.  Type: Article At times, the task of understanding the contents of an image has used two sequential steps of segmentation and recognition, without interplay between the two. A better, though more complex, approach is to determine object boundaries as... Aug 19 2015   Random walks in directed hypergraphs and application to semi-supervised image segmentation Ducournau A., Bretto A. Computer Vision and Image Understanding 12091-102, 2014.  Type: Article Hypergraphs are generalizations of graphs. In conventional graphs, the vertex set is partitioned into a number of pairs called edges. In hypergraphs, the vertex set is partitioned into a number of hyperedges with possibly more than two... Jul 14 2015       Display 510152550100 per page
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