title: Segmentation of medical image sequence by parallel active contour.
abstract: This paper presents an original approach for detecting and tracking of objects in medical image sequence. We propose a multi-agent system (MAS) based on NetLogo platform for implementing parametric contour active model or snake. In NetLogo, mobile agents (turtles) move over a grid of stationary agents (patches). In our proposed MAS, each mobile agent represents a point of snake (snaxel) and it minimizes, in parallel with other turtles, the energy functional attached to its snaxel. Then, these turtles move over the image represented by a grid of patches. The set of these agents is supervised by Observer, the NetLogo global agent. In addition, Observer loads successively the frames of sequence and initializes the turtles in the first frame. The efficiency of our system is shown through some experimental results.
authors: Mathematics and Computer Science Department, Mascara University, BP 763, Mamounia Route, 29000, Mascara, Algeria. aekfekir@gmail.com
authors: Abdelkader
authors: A
authors: Fekir
authors: Nacéra
authors: N
authors: Benamrane
mesh_terms: D019295:Computational Biology; D003198:Computer Simulation; D003952:Diagnostic Imaging / Q000706:statistics & numerical data*; D004452:Echocardiography / Q000706:statistics & numerical data; D006801:Humans; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000706:statistics & numerical data