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ICDAR
2011
IEEE
14 years 6 months ago
Script-Free Text Line Segmentation Using Interline Space Model for Printed Document Images
—This paper proposes a model-based text line segmentation algorithm for machine-printed document images. The model is based on geometric configuration which uses the interline sp...
Minwoo Kim, Il-Seok Oh
ACCV
2010
Springer
15 years 1 months ago
Medical Image Segmentation Based on Novel Local Order Energy
Image segmentation plays an important role in many medical imaging systems, yet in complex circumstances it is still a challenging problem. Among many difficulties, problem caused ...
LingFeng Wang, Zeyun Yu, Chunhong Pan
ICPR
2000
IEEE
16 years 7 months ago
Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features
The decrease in the volume of viable tumor is an indicator for the effect preoperative chemotherapy has on bone tumors. We develop an approach for segmenting dynamic perfusionMR-i...
Michael Egmont-Petersen, Alejandro F. Frangi, Wiro...
CVRMED
1997
Springer
15 years 10 months ago
Volumetric medical images segmentation using shape constrained deformable models
In this paper we address the problem of extracting geometric models from low contrast volumetric images, given a template or reference shape of that model. We proceed by deforming...
Johan Montagnat, Hervé Delingette
ECAI
2006
Springer
15 years 10 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg