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ICPR
2002
IEEE
16 years 7 months ago
Entropy Estimation and Multiscale Processing in Meteorological Satellite Images
A new model for the multiscale characterization of turbulence and chaotic information in digital images is presented. The model is applied to infrared satellite images for the det...
Antonio Turiel, Hussein M. Yahia, Jacopo Grazzini
ICIP
2004
IEEE
16 years 8 months ago
Stochastic modeling of volume images with a 3-d hidden markov model
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
Jia Li, Dhiraj Joshi, James Ze Wang
MICCAI
2010
Springer
16 years 12 days ago
  A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images
While there has been substantial progress in segmenting natural im- ages, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform ...
A. Lucchi, K. Smith, R. Achanta, V. Lepetit, P. Fu...
AUSAI
2007
Springer
16 years 24 days ago
Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study
Abstract. Although Computed Tomography (CT) is a mature discipline, the development of techniques that will further reduce radiation dose are still essential. This paper makes step...
A. P. Dalgleish, David L. Dowe, Imants D. Svalbe
ACCV
2009
Springer
15 years 10 months ago
Efficient Classification of Images with Taxonomies
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
Alexander Binder, Motoaki Kawanabe, Ulf Brefeld