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IBPRIA
2007
Springer
14 years 1 months ago
Registration-Based Segmentation Using the Information Bottleneck Method
We present two new clustering algorithms for medical image segmentation based on the multimodal image registration and the information bottleneck method. In these algorithms, the h...
Anton Bardera, Miquel Feixas, Imma Boada, Jaume Ri...
ICPR
2004
IEEE
14 years 8 months ago
Serialized Unsupervised Classifier for Adaptative Color Image Segmentation: Application to Digitized Ancient Manuscripts
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
Frank Le Bourgeois, Hubert Emptoz, Yann Leydier
HISB
2011
92views more  HISB 2011»
12 years 6 months ago
Unsupervised Grow-Cut: Cellular Automata-Based Medical Image Segmentation
— This paper presents a new cellular automata-based unsupervised image segmentation technique that is motivated by the interactive grow-cut algorithm. In contrast to the traditio...
Payel Ghosh, Sameer Antani, L. Rodney Long, George...
PRL
2006
249views more  PRL 2006»
13 years 7 months ago
Image segmentation by histogram thresholding using hierarchical cluster analysis
This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class vari...
Agus Zainal Arifin, Akira Asano
DAGM
1998
Springer
13 years 11 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann