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» A Segmentation Algorithm for Noisy Images
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WCE
2007
15 years 1 months ago
Applying EM Algorithm for Segmentation of Textured Images
— Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes...
K. Revathy, V. S. Roshni
ICCV
2007
IEEE
16 years 1 months ago
Multiscale Edge Detection and Fiber Enhancement Using Differences of Oriented Means
We present an algorithm for edge detection suitable for both natural as well as noisy images. Our method is based on efficient multiscale utilization of elongated filters measurin...
Meirav Galun, Ronen Basri, Achi Brandt
MICCAI
2002
Springer
16 years 21 days ago
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
Abstract. The paper introduces an algorithm which allows the automatic segmentation of multi channel magnetic resonance images. We extended the Expectation Maximization-Mean Field ...
Kilian M. Pohl, William M. Wells III, Alexandre Gu...
EUSFLAT
2001
183views Fuzzy Logic» more  EUSFLAT 2001»
15 years 1 months ago
On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis
One of the biggest problems in computer vision systems, analyzing images having high uncertainty/vagueness degree, is the treatment of such uncertainty. This problem is even clear...
Eduard Montseny, Pilar Sobrevilla
GECCO
2008
Springer
146views Optimization» more  GECCO 2008»
15 years 27 days ago
Automatic circle detection on images with an adaptive bacterial foraging algorithm
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images. The algorithm is based on a recently developed swarm-intellige...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Aj...