Wyniki wyszukiwania dla: Thong Ta

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Synthesis, characterization, and antimicrobial activity of lipophilic N,N′‐bis‐substituted triazolium salts

Julie A. Wilson, Zi Jie Lin, Isabelle Rodriguez, Thong Ta, więcej

Journal of Heterocyclic Chemistry > 59 > 3 > 577 - 587

A series of N,N′‐bis‐substituted triazolium salts have been synthesized using 1H‐1,2,4‐triazole, 1H‐1,2,3‐triazole, and 1H‐1,2,3‐benzotriazole. Synthesized compounds were tested for their antimicrobial activities against a panel of representative ESKAPE pathogens, which are common culprits of hospital‐acquired bacterial infections. Compounds 7 and 12 displayed significant antimicrobial activities...

artykuł

STWSN: A novel secure distributed transport protocol for wireless sensor networks

Amit Dvir, Vinh‐Thong Ta, Sefi Erlich, Levente Buttyan

International Journal of Communication Systems > 31 > 18 > n/a - n/a

Several transport protocols for wireless sensor networks (WSNs) have been designed to fulfill efficiency requirements such as energy and reliability. Unfortunately, most of these transport protocols do not include sufficient security mechanisms and hence are vulnerable to numerous reliability and energy attacks. To address these vulnerabilities, this paper proposes a novel secure transport protocol,...

artykuł

SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches

Remi Giraud, Vinh-Thong Ta, Aurelie Bugeau, Pierrick Coupe, więcej

IEEE Transactions on Image Processing > 2017 > 26 > 8 > 4068 - 4078

Superpixels have become very popular in many computer vision applications. Nevertheless, they remain underexploited, since the superpixel decomposition may produce irregular and nonstable segmentation results due to the dependency to the image content. In this paper, we first introduce a novel structure, a superpixel-based patch, called SuperPatch. The proposed structure, based on superpixel neighborhood,...

artykuł

CERES: A new cerebellum lobule segmentation method

Jose E. Romero, Pierrick Coupé, Rémi Giraud, Vinh-Thong Ta, więcej

NeuroImage > 2017 > 147 > C > 916-924

The human cerebellum is involved in language, motor tasks and cognitive processes such as attention or emotional processing. Therefore, an automatic and accurate segmentation method is highly desirable to measure and understand the cerebellum role in normal and pathological brain development. In this work, we propose a patch-based multi-atlas segmentation tool called CERES (CEREbellum Segmentation)...

rozdział

SCALP: Superpixels with Contour Adherence using Linear Path

Remi Giraud, Vinh-Thong Ta, Nicolas Papadakis

2016 23rd International Conference on Pattern Recognition (ICPR) > 2374 - 2379

2016 23rd International Conference on Pattern Recognition (ICPR)

Superpixel decomposition methods are generally used as a pre-processing step to speed up image processing tasks. They group the pixels of an image into homogeneous regions while trying to respect existing contours. For all state-of-the-art superpixel decomposition methods, a trade-off is made between 1) computational time, 2) adherence to image contours and 3) regularity and compactness of the decomposition...

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Hue-preserving perceptual contrast enhancement

Fabien Pierre, Jean-Francois Aujol, Aurelie Bugeau, Gabriele Steidl, więcej

2016 IEEE International Conference on Image Processing (ICIP) > 4067 - 4071

2016 IEEE International Conference on Image Processing (ICIP)

This paper proposes a novel model for contrast enhancement of RGB images. The average local contrast measure is increased within a variational framework which preserves the hue of the original image by coupling the channels. The user is enabled to intuitively control the level of the contrast as well as the scale of the enhanced details. Moreover, our model avoids large modifications of the original...

artykuł

Variational Contrast Enhancement of Gray-Scale and RGB Images

Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, więcej

Journal of Mathematical Imaging and Vision > 2017 > 57 > 1 > 99-116

The aim of this paper is twofold. First, we propose a new method for enhancing the contrast of gray-value images. We use the difference of the average local contrast measures between the original and the enhanced images within a variational framework. This enables the user to intuitively control the contrast level and the scale of the enhanced details. Moreover, our model avoids large modifications...

rozdział

Adaptation of Eikonal Equation over Weighted Graph

Vinh-Thong Ta, Abderrahim Elmoataz, Olivier Lézoray

Lecture Notes in Computer Science > Scale Space and Variational Methods in Computer Vision > Segmentation and Detection > 187-199

In this paper, an adaptation of the eikonal equation is proposed by considering the latter on weighted graphs of arbitrary structure. This novel approach is based on a family of discrete morphological local and nonlocal gradients expressed by partial difference equations (PdEs). Our formulation of the eikonal equation on weighted graphs generalizes local and nonlocal configurations in the context...

rozdział

Partial Difference Equations over Graphs: Morphological Processing of Arbitrary Discrete Data

Vinh-Thong Ta, Abderrahim Elmoataz, Olivier Lézoray

Lecture Notes in Computer Science > Computer Vision – ECCV 2008 > Poster Session III > 668-680

Mathematical Morphology (MM) offers a wide range of operators to address various image processing problems. These processing can be defined in terms of algebraic set or as partial differential equations (PDEs). In this paper, a novel approach is formalized as a framework of partial difference equations (PdEs) on weighted graphs. We introduce and analyze morphological operators in local and nonlocal...

rozdział

Mitosis Extraction in Breast-Cancer Histopathological Whole Slide Images

Vincent Roullier, Olivier Lézoray, Vinh-Thong Ta, Abderrahim Elmoataz

Lecture Notes in Computer Science > Advances in Visual Computing > ST: Computational Bioimaging II > 539-548

In this paper, we present a graph-based multi-resolution approach for mitosis extraction in breast cancer histological whole slide images. The proposed segmentation uses a multi-resolution approach which reproduces the slide examination done by a pathologist. Each resolution level is analyzed with a focus of attention resulting from a coarser resolution level analysis. At each resolution level, a...

rozdział

Nonlocal Multiscale Hierarchical Decomposition on Graphs

Moncef Hidane, Olivier Lézoray, Vinh-Thong Ta, Abderrahim Elmoataz

Lecture Notes in Computer Science > Computer Vision – ECCV 2010 > Spotlights and Posters W2 > 638-650

The decomposition of images into their meaningful components is one of the major tasks in computer vision. Tadmor, Nezzar and Vese [1] have proposed a general approach for multiscale hierarchical decomposition of images. On the basis of this work, we propose a multiscale hierarchical decomposition of functions on graphs. The decomposition is based on a discrete variational framework that makes it...

rozdział

Efficient Algorithms for Image and High Dimensional Data Processing Using Eikonal Equation on Graphs

Xavier Desquesnes, Abderrahim Elmoataz, Olivier Lézoray, Vinh-Thong Ta

Lecture Notes in Computer Science > Advances in Visual Computing > Poster Session > 647-658

In this paper we propose an adaptation of the static eikonal equation over weighted graphs of arbitrary structure using a framework of discrete operators. Based on this formulation, we provide explicit solutions for the $\mathcal{L}_1, \mathcal{L}_2$ and $\mathcal{L}_\infty$ norms. Efficient algorithms to compute the explicit solution of the eikonal equation on graphs are also described. We...

artykuł

An Optimized PatchMatch for multi-scale and multi-feature label fusion

Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, więcej

NeuroImage > 2016 > 124 > PA > 770-782

Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance Images (MRI). Recently, patch-based label fusion approaches have demonstrated state-of-the-art segmentation accuracy. In this paper, we introduce a new patch-based label fusion framework to perform segmentation of anatomical structures. The proposed approach uses an Optimized PAtchMatch Label fusion...

rozdział

Exemplar-based colorization in RGB color space

Fabien Pierre, Jean-Francois Aujol, Aurelie Bugeau, Nicolas Papadakis, więcej

2014 IEEE International Conference on Image Processing (ICIP) > 625 - 629

2014 IEEE International Conference on Image Processing (ICIP)

This paper deals with the problem of image colorization. A model including total variation regularization is proposed. Our approach colorizes directly the three RGB channels, while most existing methods were only focusing on the two chrominance channels. By using the three channels, our approach is able to better preserve color consistency. Our model is non convex, but we propose an efficient primal-dual...

artykuł

Variational Exemplar-Based Image Colorization

Aurelie Bugeau, Vinh-Thong Ta, Nicolas Papadakis

IEEE Transactions on Image Processing > 2014 > 23 > 1 > 298 - 307

In this paper, we address the problem of recovering a color image from a grayscale one. The input color data comes from a source image considered as a reference image. Reconstructing the missing color of a grayscale pixel is here viewed as the problem of automatically selecting the best color among a set of color candidates while simultaneously ensuring the local spatial coherency of the reconstructed...

rozdział

Relaxed Cheeger Cut for image segmentation

Ludovic Paulhac, Vinh-Thong Ta, Remi Megret

Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) > 3321 - 3324

2012 21st International Conference on Pattern Recognition (ICPR)

In this paper, we study and evaluate the application to image segmentation of a p-Laplacian based relaxation of the Cheeger Cut problem. Based on a l¹ relaxation of the initial clustering problem, we show that these methods can outperform usual well-known graph based approaches, e.g., min-cut/max-flow algorithm or l² spectral clustering, for unsupervised and very weakly supervised image segmentation...

rozdział

Patch-based image colorization

Aurelie Bugeau, Vinh-Thong Ta

Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) > 3058 - 3061

2012 21st International Conference on Pattern Recognition (ICPR)

Image colorization consists in adding colors to grayscale images. Two approaches are mainly used: the first one consists in using manually pre-defined color inputs while the second consider an entire colored image as color example to transfer. The work presented here is in the second category. Indeed, we propose a simple patch-based image colorization based on an input image as a color example. First,...

artykuł

Multi-resolution graph-based analysis of histopathological whole slide images: Application to mitotic cell extraction and visualization

Vincent Roullier, Olivier Lézoray, Vinh-Thong Ta, Abderrahim Elmoataz

Computerized Medical Imaging and Graphics > 2011 > 35 > 7-8 > 603-615

artykuł

Nonlocal PDEs-Based Morphology on Weighted Graphs for Image and Data Processing

Vinh-Thong Ta, A Elmoataz, O Lezoray

IEEE Transactions on Image Processing > 2011 > 20 > 6 > 1504 - 1516

Mathematical morphology (MM) offers a wide range of operators to address various image processing problems. These operators can be defined in terms of algebraic (discrete) sets or as partial differential equations (PDEs). In this paper, we introduce a nonlocal PDEs-based morphological framework defined on weighted graphs. We present and analyze a set of operators that leads to a family of discretized...

artykuł

Partial differences as tools for filtering data on graphs

Olivier Lézoray, Vinh-Thong Ta, Abderrahim Elmoataz

Pattern Recognition Letters > 2010 > 31 > 14 > 2201-2213

High-dimensional feature spaces are often corrupted by noise. This is problematic for the processing of manifolds and data sets since most of reference methods (and especially graph-based ones) are sensitive to noise. This paper presents pre-processing methods for manifold denoising and simplification based on discrete analogues of continuous regularization and mathematical morphology. The proposed...

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