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ICCV
2009
IEEE
15 years 20 days ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...
PCM
2005
Springer
157views Multimedia» more  PCM 2005»
14 years 1 months ago
Segmentation of the Liver Using the Deformable Contour Method on CT Images
Abstract. Automatic liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computeraided diagnosis (CAD) for liver CT. However, th...
Seong-Jae Lim, Yong-Yeon Jeong, Yo-Sung Ho
IVC
2007
104views more  IVC 2007»
13 years 7 months ago
Text segmentation in color images using tensor voting
In natural scene, text elements are corrupted by many types of noise, such as streaks, highlights, or cracks. These effects make the clean and automatic segmentation very difficu...
Jaeguyn Lim, Jonghyun Park, Gérard G. Medio...
MICCAI
2003
Springer
14 years 8 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
PR
2008
228views more  PR 2008»
13 years 7 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu