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KCAP
2005
ACM
15 years 12 months ago
Evaluating the application of semantic inferencing rules to image annotation
Semantic annotation of digital objects within large multimedia collections is a difficult and challenging task. We describe a method for semi-automatic annotation of images and ap...
Laura Hollink, Suzanne Little, Jane Hunter
PAMI
2006
99views more  PAMI 2006»
15 years 6 months ago
A New Convexity Measure Based on a Probabilistic Interpretation of Images
In this article we present a novel convexity measure for object shape analysis. The proposed method is based on the idea of generating pairs of points from a set, and measuring th...
Esa Rahtu, Mikko Salo, Janne Heikkilä
MICCAI
2009
Springer
16 years 3 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
VMV
2004
292views Visualization» more  VMV 2004»
15 years 7 months ago
Automatic Generation of Shape Models Using Nonrigid Registration with a Single Segmented Template Mesh
Statistical shape modeling using point distribution models (PDMs) has been studied extensively for segmentation and other image analysis tasks. Methods investigated in the literat...
Geremy Heitz, Torsten Rohlfing, Calvin R. Maurer J...
DAGM
2004
Springer
15 years 11 months ago
Level Set Based Image Segmentation with Multiple Regions
We address the difficulty of image segmentation methods based on the popular level set framework to handle an arbitrary number of regions. While in the literature some level set t...
Thomas Brox, Joachim Weickert