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IBPRIA
2007
Springer
13 years 11 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...
SIBGRAPI
2006
IEEE
13 years 10 months ago
Determining the branchings of 3D structures from respective 2D projections
This work describes a new framework for automatic extraction of 2D branching structures images obtained from 3D shapes, such as neurons and retinopathy images. The majority of met...
Jorge J. G. Leandro, Roberto M. Cesar, Luciano da ...
ICIP
2000
IEEE
13 years 9 months ago
Video Dissolve and Wipe Detection via Spatio-Temporal Images of Chromatic Histogram Differences
Gradual transitions represent a challenging problem for temporal segmentation of video. Here we present two new features for detecting these. Recently, Ngo et al. set out a method...
Mark S. Drew, Ze-Nian Li, Xiang Zhong
PRL
2006
249views more  PRL 2006»
13 years 4 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
CVPR
2003
IEEE
14 years 6 months ago
Multi-modal image registration by minimizing Kullback-Leibler distance between expected and observed joint class histograms
In this paper, we present a new multimodal image registration method based on the a priori knowledge of the class label mappings between two segmented input images. A joint class ...
Ho-Ming Chan, Albert C. S. Chung, Simon C. H. Yu, ...