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Signal processing / Artificial intelligence / Segmentation / Canny edge detector / Edge detection / Thresholding / Region growing / Expectation–maximization algorithm / Scale-invariant feature transform / Image processing / Computer vision / Statistics


Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework Omer Rotem The Engineering Faculty Tel-Aviv University, Israel
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Document Date: 2008-01-08 07:07:47

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City

New York / New-York / /

Company

Addison-Wesley Inc. / /

Country

Israel / /

Currency

pence / ZAR / /

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Facility

Engineering Bar-Ilan University / Aviv University / Israel Hayit Greenspan The Engineering Faculty Tel-Aviv University / /

IndustryTerm

segmentation algorithms / pre-processing step / image segmentation algorithms / information via existing edge maps algorithms / image processing / mean-shift segmentation algorithm / map algorithm / proposed segmentation algorithm / segmentation algorithm / /

MarketIndex

BSE / /

Organization

Engineering Faculty Tel-Aviv University / Bar-Ilan University / American Statistical Association / Israel Jacob Goldberger School / Pattern Analysis and Machine Intelligence / /

Person

D. Martin / E. Sharon / J. Malik / H. Greenspan / D. Tal / J. Goldberger / C. Carson / J. Shi / R. Basri / A. Ruf / A. Brandt / L. Ridel / John Wiley / S. Belongie / C. Fowlkes / R. O. Duda / /

Position

model the relationship / head / /

Product

Pentax K-x Digital Camera / /

ProvinceOrState

New York / /

PublishedMedium

Journal of the American Statistical Association / /

Technology

K-means algorithm / mean-shift segmentation algorithm / Dynamic Gaussian Allocation The EM algorithm / proposed algorithm / segmentation algorithms / GMM-EM algorithm / three segmentation algorithms / segmentation algorithm / proposed segmentation algorithm / EM algorithm / image processing / map algorithm / MRI / evaluating segmentation algorithms / image segmentation algorithms / /

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