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SEDE
2008
15 years 8 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
ISBI
2006
IEEE
16 years 7 months ago
Group mean differences of voxel and surface objects via nonlinear averaging
Building of atlases representing average and variability of a population of images or of segmented objects is a key topic in application areas like brain mapping, deformable objec...
Shun Xu, Martin Andreas Styner, Brad Davis, Sarang...
TIP
2002
253views more  TIP 2002»
15 years 6 months ago
Image segmentation by histogram thresholding using fuzzy sets
Methods for histogram thresholding based on the minimization of a threshold-dependent criterion function might not work well for images having multimodal histograms. In this paper ...
Orlando José Tobias, Rui Seara
CVPR
2006
IEEE
16 years 8 months ago
Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
This paper presents a shape representation and a variational framework for the construction of diffeomorphisms that establish "meaningful" correspondences between images...
Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, L...
ECCV
2002
Springer
16 years 8 months ago
DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images
What does it mean for a deforming object to be "moving" (see Fig. 1)? How can we separate the overall motion (a finite-dimensional group action) from the more general de...
Stefano Soatto, Anthony J. Yezzi