95 search results - page 14 / 19 » Image Segmentation by Unsupervised Sparse Clustering |
PCM
2005
Springer
14 years 1 months ago
2005
Springer
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...
CBMS
2004
IEEE
13 years 11 months ago
2004
IEEE
A new algorithm is proposed for performing unsupervised tissue classification in medical images by integrating conventional clustering techniques with edge-adaptive segmentation t...
ICTAI
2002
IEEE
14 years 24 days ago
2002
IEEE
This paper addresses the issue of effective and efficient content based image retrieval by presenting a novel indexing and retrieval methodology that integrates color, texture, an...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...