Multi agent system for boundary detection and object tracking in image sequence based on active contours Abdelkader Fekir, Nacéra Benamrane Multiagent and Grid Systems, 2015 This paper proposes a new multi agent system for boundary detection and object tracking in image sequence. It exploits advantages of three elements: multi agent solution, active contour model and multi resolution treatment. The proposed system is organized as multi level structure where each level is composed of many cooperative agents. In edge detection step, snake agents in higher level of image pyramid cooperate to get object boundaries in low resolution image. Then, it transmits its result to subsystem agents of inferior level and these ones cooperate to refine object edge in next image, and so on. In the second step, high level agents migrate to the next pyramid for tracking edges in the next image of sequence, in parallel with detection step of inferior subsystem in previous image, using the same cooperation and scheduling strategy. The efficiency of the system is shown through some experimental results.
Fast active contour for object tracking in image sequence Abdelkader Fekir, Nacera Benamrane Proceedings of IEEE ACS International Conference on Computer Systems and Applications Aiccsa, 2014 This paper proposes a segmentation method of 2D image sequence based on active contour or snake. We define energy functional of active contour for detecting object in first frame of sequence. Then, the final snake is used as initial snake in the next frame. Our idea of tracking object is achieved by change of energy functional. Therefore, we substitute balloon energy of first energy functional by new energy. We propose a new formula of this new energy that guarantees fast tracking of movement of snake points. Hence, rapidity of our active contour is based on three notions: proposed initialization, change of energy functional and new motion energy. The efficiency of our approach is shown through some experimental results using three image sequences: synthetic sequence, moving biological cell sequence and echocardiograph image sequence. Its rapidity is justified by runtime comparison with a conventional method.
Detection and tracking of objects in image sequence by active contours Proceedings of the International Conference on Computer Science and Its Applications, 2009
Detection and tracking of objects in an image sequence by active contours Ceur Workshop Proceedings, 2007
Medical images segmentation by neuro-genetic approach N. Benamrane, A. Fekir Proceedings of the International Conference on Information Visualisation, 2005 In this paper, we propose an approach based on the RBF neural networks and the genetic algorithms for magnetic resonance (MR) brain images segmentation. In the feature extraction stage, nine features are calculated and used as RBF network inputs. The genetic algorithm build automatically a RBF NN (It determines the number of hidden neurons, and their respective centers and radii). Nets' fitness is calculated by using the mean square error.
RECENT SCHOLAR PUBLICATIONS
Data augmentation for offline arabic handwritten text recognition using moving least squares MA Chadli, RB Bouiadjra, A Fekir, J Martínez‑Gómez, JA Gámez Revue d'Intelligence Artificielle 38 (1), 1 , 2024 2024 Citations: 4
Offline Arabic Handwritten Text Recognition for Unsegmented Words using Convolutional Recurrent Neural Network MA Chadli, R Bachir Bouiadjra, A Fekir The 1st International Conference on Artificial Intelligence: Theories and … , 2022 2022 Citations: 3
Contribution à la segmentation d'une séqence d'images vidéo: application à l'imagerie médicale A FEKIR Université Mohamed Boudiaf des Sciences et de la Technologie-Mohamed Boudiaf … , 2016 2016
Multi agent system for boundary detection and object tracking in image sequence based on active contours A Fekir, N Benamrane Multiagent and Grid Systems 11 (2), 81-93 , 2015 2015 Citations: 3
Fast active contour for object tracking in image sequence A Fekir, N Benamrane 2014 IEEE/ACS 11th International Conference on Computer Systems and … , 2014 2014 Citations: 3
New and Fast active contour energy for object tracking in medical image sequence A Fekir, N Benamrane 9th International Computing Conference in Arabic, TUNISIA , 2013 2013
Segmentation d’images Par Les Contours Actifs H MEDDEBER usto , 2013 2013
Suivi parallèle d’objet dans une séquence d’images médicales par les contours actifs H Meddeber, A FEKIR, N BENAMRANE Conférence Internationale sur le traitement de l'information et multimédia , 2012 2012
fast object tracking in medical image sequence using active contours A FEKIR, N BENAMRANE International journal of computer science and engineering in Arabic 4 (1) , 2012 2012
Suivi d’Objet Dans Une Séquence D’images Médicales Par Les Contours Actifs H Meddeber, A FEKIR, N BENAMRANE Conférence maghrébine sur l'Extraction et la Gestion des Connaissances , 2011 2011
Software tools and algorithms for biological systems HR Arabnia, QN Tran Springer , 2011 2011 Citations: 31
Segmentation of medical image sequence by parallel active contour A Fekir, N Benamrane Software Tools and Algorithms for Biological Systems, 515-522 , 2011 2011 Citations: 13
Fast object tracking in medical image sequence using active contours A FEKIR, N BENAMRANE 7th International Computing Confrence in Arabic (ICCA'2011), Riadh-Saoudi … , 2011 2011
SEGMENTATION D’UNE SEQUENCE D’IMAGES MEDICALES PAR LES CONTOURS ACTIFS A FEKIR, N BENAMRANE, A TALEB-AHMED Journal of Engineering and Science Technology 1 (1), 172-182 , 2011 2011
Segmentation d’une séquence d’images médicales par les contour actifs A FEKIR, N BENAMRANE, A Taleb-ahmed International conference on systems and information processing , 2009 2009
Détection et Suivi d'Objets dans une Séquence d'Images par Contours Actifs. A Fekir, N Benamrane, A Taleb-Ahmed CIIA , 2009 2009 Citations: 4
Medical images segmentation by neuro-genetic approach N Benamrane, A Fekir Ninth International Conference on Information Visualisation (IV'05), 981-986 , 2005 2005 Citations: 14
Segmentation des images médicales par les réseaux RBF et les algorithmes génétiques A FEKIR Université Mohamed Boudiaf des Sciences et de la Technologie-Mohamed Boudiaf … , 2004 2004
Segmentation des images médicales par les réseau RBF et les algorithmes génétiques A FEKIR, N BENAMRANE Journées d'études Algéro-Françaises en Imagerie Médicale , 2004 2004
Hybridation des réseaux RBF et des algorithmes génétiques pour la segmentation des images médicales A FEKIR, N BENAMRANE Conférence Nationale sur l’Ingénierie de l’Électronique , 2004 2004
MOST CITED SCHOLAR PUBLICATIONS
Software tools and algorithms for biological systems HR Arabnia, QN Tran Springer , 2011 2011 Citations: 31
Medical images segmentation by neuro-genetic approach N Benamrane, A Fekir Ninth International Conference on Information Visualisation (IV'05), 981-986 , 2005 2005 Citations: 14
Segmentation of medical image sequence by parallel active contour A Fekir, N Benamrane Software Tools and Algorithms for Biological Systems, 515-522 , 2011 2011 Citations: 13
Data augmentation for offline arabic handwritten text recognition using moving least squares MA Chadli, RB Bouiadjra, A Fekir, J Martínez‑Gómez, JA Gámez Revue d'Intelligence Artificielle 38 (1), 1 , 2024 2024 Citations: 4
Détection et Suivi d'Objets dans une Séquence d'Images par Contours Actifs. A Fekir, N Benamrane, A Taleb-Ahmed CIIA , 2009 2009 Citations: 4
Offline Arabic Handwritten Text Recognition for Unsegmented Words using Convolutional Recurrent Neural Network MA Chadli, R Bachir Bouiadjra, A Fekir The 1st International Conference on Artificial Intelligence: Theories and … , 2022 2022 Citations: 3
Multi agent system for boundary detection and object tracking in image sequence based on active contours A Fekir, N Benamrane Multiagent and Grid Systems 11 (2), 81-93 , 2015 2015 Citations: 3
Fast active contour for object tracking in image sequence A Fekir, N Benamrane 2014 IEEE/ACS 11th International Conference on Computer Systems and … , 2014 2014 Citations: 3
Contribution à la segmentation d'une séqence d'images vidéo: application à l'imagerie médicale A FEKIR Université Mohamed Boudiaf des Sciences et de la Technologie-Mohamed Boudiaf … , 2016 2016
New and Fast active contour energy for object tracking in medical image sequence A Fekir, N Benamrane 9th International Computing Conference in Arabic, TUNISIA , 2013 2013
Segmentation d’images Par Les Contours Actifs H MEDDEBER usto , 2013 2013
Suivi parallèle d’objet dans une séquence d’images médicales par les contours actifs H Meddeber, A FEKIR, N BENAMRANE Conférence Internationale sur le traitement de l'information et multimédia , 2012 2012
fast object tracking in medical image sequence using active contours A FEKIR, N BENAMRANE International journal of computer science and engineering in Arabic 4 (1) , 2012 2012
Suivi d’Objet Dans Une Séquence D’images Médicales Par Les Contours Actifs H Meddeber, A FEKIR, N BENAMRANE Conférence maghrébine sur l'Extraction et la Gestion des Connaissances , 2011 2011
Fast object tracking in medical image sequence using active contours A FEKIR, N BENAMRANE 7th International Computing Confrence in Arabic (ICCA'2011), Riadh-Saoudi … , 2011 2011
SEGMENTATION D’UNE SEQUENCE D’IMAGES MEDICALES PAR LES CONTOURS ACTIFS A FEKIR, N BENAMRANE, A TALEB-AHMED Journal of Engineering and Science Technology 1 (1), 172-182 , 2011 2011
Segmentation d’une séquence d’images médicales par les contour actifs A FEKIR, N BENAMRANE, A Taleb-ahmed International conference on systems and information processing , 2009 2009
Segmentation des images médicales par les réseaux RBF et les algorithmes génétiques A FEKIR Université Mohamed Boudiaf des Sciences et de la Technologie-Mohamed Boudiaf … , 2004 2004
Segmentation des images médicales par les réseau RBF et les algorithmes génétiques A FEKIR, N BENAMRANE Journées d'études Algéro-Françaises en Imagerie Médicale , 2004 2004
Hybridation des réseaux RBF et des algorithmes génétiques pour la segmentation des images médicales A FEKIR, N BENAMRANE Conférence Nationale sur l’Ingénierie de l’Électronique , 2004 2004
