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IBPRIA
2009
Springer
15 years 7 months ago
Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation
A multi-spectral texture characterisation model is proposed, the Multi-spectral Local Differences Texem – MLDT, as an affordable approach to be used in multi-spectral images that...
Filiberto Pla, Gema Gracia, Pedro García-Se...
ICPR
2010
IEEE
15 years 2 months ago
A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
EJASP
2010
158views more  EJASP 2010»
14 years 9 months ago
A Fully Automated Method to Detect and Segment a Manufactured Object in an Underwater Color Image
In this work we propose a fully automated active contours based method for the detection and the segmentation of a moored manufactured object in an underwater image. Detection of o...
Christian Barat, Ronald Robert Phlypo
MICCAI
2008
Springer
16 years 3 months ago
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...
Moti Freiman, Yifat Edrei, Yehonatan Sela, Yitz...
ICIP
2005
IEEE
16 years 4 months ago
SAR images as mixtures of Gaussian mixtures
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
Peter Orbanz, Joachim M. Buhmann