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Ecole des Mines d’Ales
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11 Papers

An Anisotropic and Asymmetric Causal Filtering Based Corner Detection Method

Topics: Digital Filtering; Computer Vision Algorithms; Image Segmentation

Authors: Ghulam Shokouh , Philippe Montesinos and Baptiste Magnier

Affiliation: EuroMov Digital Health in Motion, Univ. Montpellier, IMT Mines Ales, Ales, France

Digital Object Identifier: 10.5220/0011855600003497

Proceedings of IMPROVE 2023, ISBN: 978-989-758-642-2

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An asymmetric-anisotropic causal diffusion filtering-based curvature operator is proposed in this communication. The new corner operator produces optimal results on small structures, such as, corners at pixel level and also sub-pixel level precision. Meanwhile, this method is robust against noises due to its asymmetric diffusion scheme. Experiments have been performed on a set of both synthetic and real images. The obtained results are promising and better without any ambiguity as compared with the two referenced corner operators, namely Kitchen Rosenfeld and Harris corner detector.

Bee Hive Traffic Monitoring by Tracking Bee Flight Paths

Topics: Features Extraction; Tracking and Visual Navigation; Video Surveillance and Event Detection

Authors: Baptiste Magnier , Gaëtan Ekszterowicz , Joseph Laurent , Matthias Rival and François Pfister

Affiliation: Ecole des Mines d’Alès, France

Digital Object Identifier: 10.5220/0006628205630571

Proceedings of VISAPP 2018/VISIGRAPP, ISBN: 978-989-758-290-5

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The number of pollinator insect is in decline in Europe and this raises concerns about the supply of pollination services to agriculture. Thus, countries with a low number of honeybees are more vulnerable to negative shifts in wild pollinator communities. Consequently, the demand for honeybee pollination is higher than ever but beekeepers are also very concerned by the strength of their colonies. To measure this factor, a very important indicator to take into account is the flight activity at the beehive entrance. A quantitative measure of the activity can be related to the environment and does not only benefit beekeepers but scientists too. In this paper, we present a complete method of measuring this activity. It is represented by the number of bees going in or out of the beehive. The developed method is divided in three parts: the first one consists in bee detection thanks to several image transformations using background subtraction and ellipse approximations. The second one is about tracking bees, by assuming their future positions in order to determine whether they are going in or getting out of the beehive. The last one consists in counting the bees. Finally, the experimental results demonstrate that our system created with limited resources can be used to precisely measure the flight activity at the beehive entrance.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Computer Vision, Visualization and Computer Graphics

Image and Video Analysis

Tracking and Visual Navigation

Features Extraction

Motion, Tracking and Stereo Vision

Video Surveillance and Event Detection

A Framework for Concurrent Design of Metamodels and Diagrams - Towards an Agile Method for the Synthesis of Domain Specific Graphical Modeling Languages

Topics: Tools, Techniques and Methodologies for System Development; Model Driven Architectures and Engineering; Modeling Formalisms, Languages, and Notations (e.g. UML, ER variants)

Authors: François Pfister 1 , Marianne Huchard 2 and Clémentine Nebut 2

Affiliations: 1 Ecole des Mines d’Alès, France , 2 Université Montpellier 2, France

Digital Object Identifier: 10.5220/0004895202980306

Proceedings of ICEIS 2014, ISBN: 978-989-758-028-4

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DSML (Domain Specific Modeling Languages) are an alternative to general purpose modeling languages (e.g. UML or SysML) for describing models with concepts and relations specific to a domain. DSML design is often based on Ecore metamodels, which follow the class-relation paradigm and also require defining a concrete syntax which can be either graphical or textual. In this paper, we focus on graphical concrete syntax, and we introduce an approach and a tool (Diagraph) to assist the design of a graphical DSML. The main principles are: non-intrusive annotations of the metamodel to identify nodes, edges, nesting structures and other graphical information; immediate validation of metamodels by immediate generation of an EMF-GMF instance editor supporting multi-diagramming. We report a comparison experience between Diagraph and Obeo Designer (a commercial proprietary tool), which was conducted as part of a Model Driven Engineering Course.
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Enterprise Information Systems

Model Driven Architectures and Engineering

Tools, Techniques and Methodologies for System Development
Information Systems Analysis and Specification

Aggregated Performance and Qualitative Modeling Based Smart Thermal Control

Topics: Decision Support Systems; Engineering Applications

Authors: Afef Denguir 1 , Francois Trousset 2 and Jacky Montmain 2

Affiliations: 1 Ecole des Mines d’Ales and Université de Montpellier 2, France , 2 Ecole des Mines d’Ales, France

Digital Object Identifier: 10.5220/0005063300630076

Proceedings of ICINCO 2014, ISBN: 978-989-758-039-0

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In order to ensure thermal energy efficiency and follow government’s thermal guidance, more flexible and efficient buildings’ thermal controls are required. This paper focuses on proposing an efficient, scalable, reusable, and data weak dependent smart thermal control approach based on an aggregated performance and imprecise knowledge of buildings’ thermal specificities. Its main principle is to bypass data unavailability and quantitative models identification issues and to ensure an immediate thermal enhancement. For this, we propose, first, an aggregated performance based smart thermal control in order to identify relevant thermal setpoints. An extended thermal qualitative model is then introduced to guarantee an efficient achievement of the identified thermal setpoints. Uncertainty about how relevant a thermal control is for a given thermal situation is thus reduced using online and preference based learnings.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Decision Support Systems

Informatics in Control, Automation and Robotics

Robotics and Automation

Engineering Applications

Intelligent Control Systems and Optimization

Signal Processing, Sensors, Systems Modeling and Control

Oriented Half Gaussian Kernels and Anisotropic Diffusion

Topic: Image Enhancement and Restoration

Authors: Baptiste Magnier and Philippe Montesinos

Affiliation: Ecole des Mines d’ALES, France

Digital Object Identifier: 10.5220/0004679500730081

Proceedings of VISAPP 2014/VISIGRAPP, ISBN: 978-989-758-003-1

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Nonlinear PDEs (partial differential equations) offer a convenient formal framework for image regularization and are at the origin of several efficient algorithms. In this paper, we present a new approach which is based (i) on a set of half Gaussian kernel filters, and (ii) a nonlinear anisotropic PDE diffusion. On one hand, half Gaussian kernels provide oriented filters whose flexibility enables to detect edges with great accuracy. On the other hand, a nonlinear anisotropic diffusion scheme offers a means to smooth images while preserving fine structures or details, e.g. lines, corners and junctions. Based on the calculus of the gradient magnitude and two diffusion directions, we construct a diffusion control function able to achieve precise image regularization. Some quantified experimental results compared to existing PDEs approaches and a discussion about the parameterizing of the method are presented.
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Computer Vision, Visualization and Computer Graphics

Image Enhancement and Restoration

Image Formation and Preprocessing

A Tool for Brain Magnetic Resonance Image Segmentation

Topic: Medical Image Applications

Authors: Baptiste Magnier , Philippe Montesinos and Daniel Diep

Affiliation: LGi2P de l’Ecole des Mines d’Alès, France

Digital Object Identifier: 10.5220/0004224600750079

Proceedings of VISAPP 2013/VISIGRAPP, ISBN: 978-989-8565-48-8

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This paper is dedicated to a brain magnetic resonance images regularization method, preserving grey/white matter edges using rotating smoothing filters. After a preprocessing, the originality of this approach resides in the mixing of ideas coming both from pixel classification which determines roughly if a pixel belongs to a homogenous region or an edge and an anisotropic edge detector which computes two precise diffusion directions. These directions are used by an anisotropic diffusion scheme which is accurately controlled near edges and corners. Comparing our results with existing algorithms allows us to validate the robustness of our method.
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Applications and Services

Computer Vision, Visualization and Computer Graphics

Medical Image Applications

Half Gaussian Kernels Based Shock Filter for Image Deblurring and Regularization

Topic: Image Enhancement and Restoration

Authors: Baptiste Magnier 1 , Huanyu Xu 2 and Philippe Montesinos 1

Affiliations: 1 LGi2P de l’Ecole des Mines d’Alès, France , 2 Nanjing University of Science and Technology, China

Digital Object Identifier: 10.5220/0004224500510060

Proceedings of VISAPP 2013/VISIGRAPP, ISBN: 978-989-8565-47-1

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In this paper, a shock-diffusion model is presented to restore both blurred and noisy image. The proposed approach uses a half smoothing kernel to get the precise edge directions, and use different shock-diffusion strategies for different image regions. Experiment results on real images show that the proposed model can effectively eliminate noise and enhance edges while preserving small objects and corners simultaneously. Compared to other approaches, the proposed method offers both better visual results and qualitative measurements.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Computer Vision, Visualization and Computer Graphics

Image Enhancement and Restoration

Image Formation and Preprocessing

A NEW REGION-BASED PDE FOR PERCEPTUAL IMAGE RESTORATION

Topics: Image Enhancement and Restoration; Features Extraction; Visual Attention and Image Saliency

Authors: Baptiste Magnier , Philippe Montesinos and Daniel Diep

Affiliation: LGi2P de l’Ecole des Mines d’Alès, France

Digital Object Identifier: 10.5220/0003853000560065

Proceedings of VISAPP 2012/VISIGRAPP, ISBN: 978-989-8565-03-7

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In this paper, we present a new image regularization method using a rotating smoothing filter. The novelty of this approach resides in the mixing of ideas coming both from pixel classification which determines roughly if a pixel belongs to a homogenous region or an edge and an anisotropic perceptual edge detector which computes two precise diffusion directions. These directions are used by an anisotropic diffusion scheme. This anisotropic diffusion is accurately controlled near edges and corners, while isotropic diffusion is applied to smooth homogeneous and highly noisy regions. Our results and a comparison with anisotropic diffusion methods applied on a real image show that our model is able to efficiently regularize images and to control the diffusion.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Computer Vision, Visualization and Computer Graphics

Image and Video Analysis

Image Formation and Preprocessing

Features Extraction

Image Enhancement and Restoration

Visual Attention and Image Saliency

A DYNAMICAL MODEL FOR SIMULATING A DEBATE OUTCOME

Topics: Knowledge Representation and Reasoning; Group Decision Making

Authors: A. Imoussaten 1 , J. Montmain 1 , A. Rico 2 and F. Rico 2

Affiliations: 1 LGI2P and Ecole des Mines d'Alès, France , 2 ERIC and Université Claude Bernard Lyon 1, France

Digital Object Identifier: 10.5220/0003126400310040

Proceedings of ICAART 2011, ISBN: 978-989-8425-40-9

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A group of agents is faced with collective decisional problems. The corresponding debate is seen as a dynamical process. A first theoretical model based upon a muticriteria decision framework was proposed in (Rico et al., 2004) but without semantic justifications and explicit dynamical representation. A second descriptive model was proposed in (Imoussaten et al., 2009) where social influences and argumentation strategy govern the dynamics of the debate. This paper aims at justifying the equations introduced in (Rico et al., 2004) with the semantics concepts reported in (Imoussaten et al., 2009) to provide a model of a debate in the framework of control theory that explicitly exhibits dynamical aspects and offers further perspectives for control purposes of the debate.
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Agents

Group Decision Making

Symbolic Systems
Artificial Intelligence

Knowledge Representation and Reasoning

TEXTURE REMOVAL IN COLOR IMAGES BY ANISOTROPIC DIFFUSION

Topic: Segmentation and Grouping

Authors: Baptiste Magnier , Philippe Montesinos and Daniel Diep

Affiliation: Ecole des Mines d’ALES, France

Digital Object Identifier: 10.5220/0003363600400050

Proceedings of VISAPP 2011/VISIGRAPP, ISBN: 978-989-8425-47-8

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In this paper, we present a new method for removing texture in color images using a smoothing rotating filter. From this filter, a bank of smoothed images provides pixel signals for each channel image able to classify a pixel belonging to a texture region. We apply this classification in each channel image in order to compute two directions for the anisotropic diffusion. Then, we introduce a new method for vector anisotropic diffusion which controls accurately the diffusion near edge and corner points and diffuses isotropically inside textured regions. Several results applied on real images and a comparison with vector anisotropic diffusion methods show that our model is able to remove the texture and control the diffusion.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Computer Vision, Visualization and Computer Graphics

Image and Video Analysis

Segmentation and Grouping

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