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Semantic Awareness for Automatic Image Interpretation

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Atlas-based segmentation and classification of magnetic resonance brain images

Meritxell Bach Cuadra

A wide range of different image modalities can be found today in medical imaging. These modalities allow the physician to obtain a non-invasive view of the internal organs of the human body, such as the brain. All these three dimensional images are of extr ...

EPFL2003

Region-based image classification for automatic color correction

Sabine Süsstrunk

This work presents a framework for image classification based on region information. The main application of this framework is for automatic color correction of real-scene images. Class specific color correction is already implemented in some systems, but ...

2003

Simultaneous Registration and Bias Correction of Brain Intra-operative MR Images

Jean-Philippe Thiran, Torsten Butz, Benoît Macq, Mathieu De Craene

Intra-operative MR imaging is an emerging tool for image guided (neuro)surgery. Due to the small size of the magnets and the short acquisition time, the images produced by such devices are often subject to distortions. In this work, we show the particular ...

SPIE2003

On Automatic Annotation of Images with Latent Space Models

Daniel Gatica-Perez, Florent Monay Michaud

Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of text and image features have shown encouraging results, but their performance ...

IDIAP2003

On Image Auto-Annotation with Latent Space Models

Daniel Gatica-Perez, Florent Monay Michaud

2003

Study of Systematic Chromatic Changes in Color Space to Model Color Transparency

Sabine Süsstrunk, Peggy Gerardin

Several studies have suggested that translation and convergence in a linear trichromatic color space lead to the perception of transparency, but other transformations, such as shear and rotation,do not. We have designed a psychophysical experiment to study ...

2003

A No-Reference Perceptual Blur Metric

Touradj Ebrahimi, Pina Marziliano, Frédéric Dufaux, Stefan Winkler

In this paper, we present a no-reference blur metric for images and video. The blur metric is based on the analysis of the spread of the edges in an image. Its perceptual significance is validated through subjective experiments. The novel metric is near re ...

2002

Perspectives on panoramic photography

David Hasler

Digital imaging brings a new set of possibilities to photography. For example, little pictures can be assembled to form a large panorama, and digital cameras are trying to mimic the human visual system to produce better pictures. This manuscript aims at de ...

EPFL2002

Cast Shadow Recognition in Color Images

Touradj Ebrahimi, Elena Salvador

Shadows are often integral parts of natural scenes and their identification is an important task in image analysis. In this paper, we propose an algorithm for recognition of shadows cast by objects on the scene's background. The proposed approach is based ...

EUSIPCO2002

Color Encodings for Image Databases

Sabine Süsstrunk

There are a number of color encoding standards that have lately been developed ant are being proposed to the imaging community for different encoding steps in the color imaging workflow, optimized for different purposes. In this paper, their applicability ...

2002