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» Unsupervised Multiscale Image Segmentation
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CBMS
2007
IEEE
15 years 6 months ago
An Unsupervised and Fully-Automated Image Analysis Method for cDNA Microarrays
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
Eleni Zacharia, Dimitrios E. Maroulis
ICIP
2004
IEEE
16 years 1 months ago
Modulation-feature based textured image segmentation using curve evolution
In this paper we incorporate recent results from AM-FM models for texture analysis into the variational model of image segmentation and examine the potential benefits of using the...
Iasonas Kokkinos, Georgios Evangelopoulos, Petros ...
ICIP
2001
IEEE
16 years 1 months ago
Coding theoretic approach to image segmentation
This paper introduces multi-scale tree-based approaches to image segmentation, using Rissanen's coding theoretic minimum description length (MDL) principle to penalize overly...
Mário A. T. Figueiredo, Robert D. Nowak, Un...
ICPR
2008
IEEE
15 years 6 months ago
Image segmentation towards natural clusters
To find how many clusters in a sample set is an old yet unsolved problem in unsupervised clustering. Many segmentation methods require the user to specify the number of regions in...
Zhigang Tan, Nelson Hon Ching Yung
CVPR
2008
IEEE
16 years 1 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...