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» Image filtering using morphological amoebas
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ICASSP
2011
IEEE
12 years 11 months ago
Single-frame-based rain removal via image decomposition
Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image has been rarely st...
Yu-Hsiang Fu, Li-Wei Kang, Chia-Wen Lin, Chiou-Tin...
ISMDA
2004
Springer
14 years 1 months ago
A New Approach to Automatic Segmentation of Bone in Medical Magnetic Resonance Imaging
This paper presents the modelling and segmentation with correction of inhomogeneity in magnetic resonance imaging of shoulder. For that purpose a new heuristic is proposed using a ...
Gabriela Pérez, Raquel Montes Diez, Juan An...
BMCBI
2007
157views more  BMCBI 2007»
13 years 7 months ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...
SSIAI
2000
IEEE
14 years 1 days ago
Content Based Retrieval for Remotely Sensed Imagery
We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of gabor filters is use...
Badrinarayan Raghunathan, Scott T. Acton
JMIV
2006
128views more  JMIV 2006»
13 years 7 months ago
General Adaptive Neighborhood Image Processing:
The so-called General Adaptive Neighborhood Image Processing (GANIP) approach is presented in a two parts paper dealing respectively with its theoretical and practical aspects. The...
Johan Debayle, Jean-Charles Pinoli