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CVPR
2007
IEEE
14 years 8 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
MICCAI
2009
Springer
14 years 6 months ago
Lung Extraction, Lobe Segmentation and Hierarchical Region Assessment for Quantitative Analysis on High Resolution Computed Tomo
Abstract. Regional assessment of lung disease (such as chronic obstructive pulmonary disease) is a critical component to accurate patient diagnosis. Software tools than enable such...
James C. Ross, Raúl San José Est&eac...
CAIP
2009
Springer
246views Image Analysis» more  CAIP 2009»
13 years 11 months ago
A Novel Approach for Word Spotting Using Merge-Split Edit Distance
Edit distance matching has been used in literature for word spotting with characters taken as primitives. The recognition rate however, is limited by the segmentation inconsistenci...
Khurram Khurshid, Claudie Faure, Nicole Vincent
ICIP
2009
IEEE
14 years 7 months ago
Illumination Invariant Unsupervised Segmenter
A novel illumination invariant unsupervised multispectral texture segmentation method with unknown number of classes is presented. Multispectral texture mosaics are locally repres...
ECCV
2004
Springer
14 years 8 months ago
Toward Accurate Segmentation of the LV Myocardium and Chamber for Volumes Estimation in Gated SPECT Sequences
The left ventricle myocardium and chamber segmentation in gated SPECT images is a challenging problem. Segmentation is however the first step to geometry reconstruction and quantit...
Diane Lingrand, Arnaud Charnoz, Pierre Malick Koul...