Search results for "EES"
showing 10 items of 2276 documents
A Machine Learning Approach for Computer-Aided Detection of Cerebral Microbleed Using High-order Shape Features
2014
International audience; This paper presents a novel machine learning approach for computer-aided detection of microbleeds in SWI. The major contributions are: identifying microbleed extent in order to extract proper cubic regions-of-interest (ROI) containing the structure, (2) extracting a set of robust 3- dimensional (3D) Radon- and Hessian-based shape descriptors within the ROIs as well as 2D Radon features computed on intensity-projection images of the corresponding ROIs, and (3) incorporating a cascade of random forests (RF) classifiers to iteratively reduce false detection rates while maintaining a high sensitivity.
Traitement linéaire du signal numérique
1998
International audience; Le signal numérique et son traitement sont devenus des thématiques majeures des Sciences pour l'Ingénieur depuis que les progrès de l'électronique numérique programmée ont rejeté de plus en plus loin les contraintes de bande passante et de période d'échantillonnage.Cet ouvrage propose de considérer le signal numérique et son traitement comme un ensemble cohérent indépendant de l'analyse du signal continu. Ce point de vue a l'avantage pédagogique de la simplicité de l'approche. Les mathématiques nécessaires restent élémentaires et la présentation des principaux concepts et techniques de traitement ne requiert qu'un niveau Bac scientifique ou technologique. De nombreux…
Sampling CIELAB color space with perceptual metrics
2016
International audience
Apport du variogramme dans la classification d'images satellitaires radar RSO,
2012
International audience
An inverse tone mapping method for displaying images on HDR monitor
2013
International audience
Multispectral endoscopy to identify precancerous lesions in gastric mucosa (Orale)
2014
International audience
Texture-less Macula Swelling Detection with Multiple Retinal Fundus Images
2011
International audience
Methods and Technologies - Augmented Reality
2017
International audience
Design of low noise and low power photo-receptor for CMOS vision sensor
2016
International audience
The impact of noise estimation on dehazing
2020
International audience; Under haze or fog, the quality of the images is degraded due to the atmosphere, causing the details of the images to be difficult to identify by observers and computer vision systems. Such images contain noise, which is mainly due either to environment (extrinsic noise) or sensor (intrinsic noise). As the transmission of light coming from the scenes' objects is exponentially attenuated and comes quickly down to zero in presence of haze, the noise is greatly amplified at high haze densities and long distances. In order to investigate the importance of the accurate estimation and the removal of noise from hazy images, we used the CHIC (Color Hazy Image for Comparison) …