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The goal of image segmentation is to cluster pixels into salient image regions, i.e., ... The quality of the segmentation depends on the image. Smoothly ...

http://www.cs.toronto.edu/~jepson/csc2503/segmentation.pdf

Le but de ce projet est de découper une image en régions homog`enes selon un algo- rithme de segmentation appelé « découpage-fusion ». ...

http://www.di.ens.fr/~pointche/stages/projets/ensta02.pdf

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We address the issue of low-level segmentation for real-valued images. ... Image segmentation is a fundamental issue in the field of computer vision. ...

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of the image intensity gradient. Additional improvement in segmentation is ..... the 4-D image segmentation are reduced without adversely affecting the ...

http://cfi.lbl.gov/~reutter/pubs/lbnl_53558.pdf

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the image segmentation after optimized by Pillar Algorithm. The ... approach for image segmentation by comparing with K-means and ...

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Color image segmentation methods can be roughly categorized, in this context, as ..... [5] G. Healey: Segmenting images using normalized color. ...

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information with the image segmentation for this data set. The same approach was then tried on the ..... Thomson, 1989, Segmentation d'image SPOT intégrée à ...

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by N Gorretta - 200931 Mar 2010 ... tivariate image segmentation based on geometrically guided fuzzy c-means clustering ... de segmentation d'images hyperspectrales,” ”Revue de ...

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In section 4 we give the results of apply- ing our snake model to the problem of femur segmentation in CT images and finish the article by conclusions. ...

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nonuniformity correction, MR image segmentation, spatial ...... Fig. 2(a) shows the segmented image. The segmentation can be observed to correspond well to ...

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7- Caspar Horne, "Segmentation d'image non supervisée", Ph.D. Thesis, No. 905,. 1991, EPFL. 8- Philippe Salembier, "Multiscale image analysis and modeling ...

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