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» Improved Block-Based Image Segmentation
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EMMCVPR
2005
Springer
15 years 3 months ago
Segmentation Informed by Manifold Learning
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
Qilong Zhang, Richard Souvenir, Robert Pless
ICIP
2010
IEEE
14 years 7 months ago
Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data
The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to neighbouring regions. Recently, a link shifti...
Milos Stojmenovic, Takumi Kobayashi, Nobuyuki Otsu
ISBI
2004
IEEE
15 years 10 months ago
Sequential vs Simultaneous Stochastic Segmentation
In past work, the Metropolis Algorithm along with Gibbs Priors was used to successfully segment two-dimensional noisy gray images into a small finite number of labels. In applicat...
Eilat Vardi-Gonen, Gabor T. Herman
CVPR
2012
IEEE
12 years 12 months ago
Learning to segment dense cell nuclei with shape prior
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained microscope images with a shape prior. This problem is encountered ubiquitously in cell biology ...
Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt,...
MICCAI
2005
Springer
15 years 10 months ago
Shape-Based Averaging for Combination of Multiple Segmentations
Combination of multiple segmentations has recently been introduced as an effective method to obtain segmentations that are more accurate than any of the individual input segmentati...
Torsten Rohlfing, Calvin R. Maurer Jr.