Evaluation of Adaptive FRIFS Method through Several Classification Comparisons

International audienceAn iterative method to select suitable features for pattern recognition context has been proposed (FRIFS). It combines a global feature selection method based on the Choquet integral and a fuzzy linguistic rule classifier. In this paper, enhancements of this method are presented. An automatic step has been added to make it adaptive to process numerous features. The experimental study, made in a wood defect recognition context, is based on several classifier result analysis. They show the relevancy of the remaining set of selected features. The recognition rates are also considered for each class separately, showing the good behavior of the proposed method

Expert knowledge's modeling and expert knowledge's integration for defect identification by fuzzy linguistic rules

This article proposes a principle of knowledge’s integration for the improvement of a system of defects recognition by vision on wooden boards. We locate the problem of vision which is at the base of this study, then we clarify the expert knowledge, as well in the field of the wood profession as in the field of vision. We use for that a symbolic model based on the NIAM/ORM method, formalizing the expert knowledge expressed in natural language. Then we present the way we exploit these expert knowledge to generate nodes of an arborescent structure for the defects identification of wooden boards. Each node represents an engine of inference based on fuzzy linguistic rules. The results obtained prove the interest of this principle.Cet article propose une démarche d'intégration de connaissances pour l'amélioration d'un système de reconnaissance de défauts par vision sur des planches de bois. Nous situons le problème de vision qui est à la base de cette étude, puis nous explicitons les connaissances métier nécessaires, aussi bien dans le domaine du métier du bois que dans le domaine de la vision. Nous utilisons pour cela un modèle symbolique basé sur la méthode-NIAM/ORM, formalisant ces connaissances métier à partir de leur expression en langage naturel. Puis nous présentons la façon dont nous exploitons ces connaissances métier pour générer les noeuds d'une structure en arborescence pour l'identification des défauts des planches de bois. Chacun des noeuds consiste en un moteur d'inférence à base de règles linguistiques floues. Les résultats obtenus prouvent l'intérêt de cette démarche

Détection de contours par règles linguistiques floues

Dans cet article, nous proposons un opérateur de détection de contours basé sur l'utilisation de règles linguistiques floues. Notre objectif est de pouvoir paramétrer notre opérateur en fonction de connaissances a priori sur le contexte applicatif afin de pouvoir améliorer la détection. Nous présentons tout d'abord le modèle générique de notre opérateur, puis nous spécifions deux opérateurs pour détecter des contours en marche d'escalier en expliquant le principe d'intégration des connaissances. Enfin, nous fusionnons les résultats de ces opérateurs et les comparons à ceux fournis par des opérateurs classiques en utilisant les critères de Fram et Deutsch

A feature selection method based on Choquet Integral and Typicality Analysis

ISBN: 1-4244-1210-2International audienceIn this paper, we present an iterative feature selection method based on feature typicality and interactivity analysis. The aim of such a method is to enhance model interpretability by selecting the best significant features among a list extracted from images. The inference mechanism uses a fuzzy linguistic rule-based system. In the presented application, we apply this method to wood defect classification. Nowadays, feature selection is expertise-driven and most of the time, expert uses features by habits which not always represent the best ones to use. The proposed method aims to replace expert selection by automatically choosing the most adapted features to the recognition problem

Contextualisation de la sélection automatique de caméras : diffusion d'un match de basketball

International audienceThis study proposes a methodology for automatic camera selection based on the application context modeling. The integration of knowledge about the event makes it possible to identify the sources of interest in the scene. This methodology is applied in the context of the broadcasting of a basketball match. The automatic camera selection is based on the location of the action of interest and the detection of free throws in the video streams.Cette étude propose une méthodologie de sélection automatique de caméras se basant sur la modélisation du contexte d'application. L'intégration de connaissances sur l'évènement permet d'identifier les sources d'intérêts dans la scène. Cette méthodologie est appliquée dans le cadre de la diffusion d'un match de basket. La sélection automatique de la caméra est basée sur la localisation de l'action d'intérêt et la détection des lancers-francs dans les flux vidéos

Efficacy and safety of acupuncture for the treatment of non-specific acute low back pain: a randomised controlled multicentre trial protocol [ISRCTN65814467]

BACKGROUND: Low back pain and its associated incapacitating effects constitute an important healthcare and socioeconomic problem, as well as being one of the main causes of disability among adults of working age. The prevalence of non-specific low back pain is very high among the general population, and 60–70% of adults are believed to have suffered this problem at some time. Nevertheless, few randomised clinical trials have been made of the efficacy and efficiency of acupuncture with respect to acute low back pain. The present study is intended to assess the efficacy of acupuncture for acute low back pain in terms of the improvement reported on the Roland Morris Questionnaire (RMQ) on low back pain incapacity, to estimate the specific and non-specific effects produced by the technique, and to carry out a cost-effectiveness analysis. METHODS/DESIGN: Randomised four-branch controlled multicentre prospective study made to compare semi-standardised real acupuncture, sham acupuncture (acupuncture at non-specific points), placebo acupuncture and conventional treatment. The patients are blinded to the real, sham and placebo acupuncture treatments. Patients in the sample present symptoms of non specific acute low back pain, with a case history of 2 weeks or less, and will be selected from working-age patients, whether in paid employment or not, referred by General Practitioners from Primary Healthcare Clinics to the four clinics participating in this study. In order to assess the primary and secondary result measures, the patients will be requested to fill in a questionnaire before the randomisation and again at 3, 12 and 48 weeks after starting the treatment. The primary result measure will be the clinical relevant improvement (CRI) at 3 weeks after randomisation. We define CRI as a reduction of 35% or more in the RMQ results. DISCUSSION: This study is intended to obtain further evidence on the effectiveness of acupuncture on acute low back pain and to isolate the specific and non-specific effects of the treatment

Codage en chaine par suivi de contours en segmentation d'images binaires. Apport d'un operateur flou pour une extension aux images monochromes

SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : T 79414 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc