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» Image Segmentation - A Survey of Soft Computing Approaches
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ICPR
2010
IEEE
15 years 6 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
ICCV
2009
IEEE
16 years 9 months ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...
BMCBI
2007
247views more  BMCBI 2007»
15 years 4 months ago
A survey of DNA motif finding algorithms
Background: Unraveling the mechanisms that regulate gene expression is a major challenge in biology. An important task in this challenge is to identify regulatory elements, especi...
Modan K. Das, Ho-Kwok Dai
MICCAI
2006
Springer
15 years 10 months ago
Simultaneous Stereoscope Localization and Soft-Tissue Mapping for Minimal Invasive Surgery
Minimally Invasive Surgery (MIS) has recognized benefits of reduced patient trauma and recovery time. In practice, MIS procedures present a number of challenges due to the loss of ...
Peter Mountney, Danail Stoyanov, Andrew Davison, G...
CVPR
2006
IEEE
16 years 6 months ago
Segmentation by Level Sets and Symmetry
Shape symmetry is an important cue for image understanding. In the absence of more detailed prior shape information, segmentation can be significantly facilitated by symmetry. How...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen