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ICPR
2004
IEEE
14 years 10 months ago
Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model...
David A. Clausi, Huawu Deng
MM
2006
ACM
130views Multimedia» more  MM 2006»
14 years 3 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
KES
2007
Springer
14 years 3 months ago
Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation
This paper extends the use of stochastic watershed, recently introduced by Angulo and Jeulin [1], to unsupervised segmentation of multispectral images. Several probability density ...
Guillaume Noyel, Jesús Angulo, Dominique Je...
ICIP
2006
IEEE
14 years 11 months ago
Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model
We address unsupervised variational segmentation ofmulti-look complex polarimetric images using a Wishart observation model via level sets. The methods consists of minimizing a fu...
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
ACCV
2007
Springer
14 years 1 months ago
Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER
Given a collection of images of offices, what would we say we see in the images? The objects of interest are likely to be monitors, keyboards, phones, etc. Such identification of t...
Devi Parikh, Tsuhan Chen