By M-Consuelo Bastida-Jumilla (auth.), José Mira, José Manuel Ferrández, José R. Álvarez, Félix de la Paz, F. Javier Toledo (eds.)
The two-volume set LNCS 5601 and LNCS 5602 constitutes the refereed lawsuits of the 3rd overseas Work-Conference at the interaction among common and synthetic Computation, IWINAC 2009, held in Santiago de Compostela, Spain, in June 2009.
The 108 revised papers awarded are thematically divided into volumes. the 1st quantity comprises papers referring to the latest collaborations with Professor Mira and contributions regularly similar with theoretical, conceptual and methodological points linking AI and information engineering with neurophysiology, clinics and cognition. the second one quantity includes the entire contributions hooked up with biologically encouraged equipment and methods for fixing AI and data engineering difficulties in several software domains.
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Extra resources for Bioinspired Applications in Artificial and Natural Computation: Third International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, Santiago de Compostela, Spain, June 22-26, 2009, Proceedings, Part II
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The former model the inner topology of the objects whereas the latter fit the edges of the objects. The Topological Active Net model and its extension to 3D, that is, the Topological Active Volume (TAV) model [3], were developed as an extension of the original active net model. It solves some intrinsic problems to the deformable models such as the initialization problem. The model deformation is controlled by energy functions in such a way that the mesh energy has a minimum when the model is over the objects of the scene.
For instance, Ballerini [4] has developed the “genetic snakes”, this is, snakes that minimize their energy by means of genetic algorithms. In [6] the authors have proved the superiority of a global search method by means of a Genetic Algorithm (GA) in the optimization of the Topological Active Nets in 2D images. The results showed that the GA is less sensitive to noise than the usual greedy optimizations and does not depend on the parameter set or the mesh size. Regarding 3D images, Jones and Metaxas [7] have used deformable contours to estimate organ boundaries.
Section 2 introduces the basis of the TAV model. Section 3 briefly explains the GA used in the model optimization. Section 4 22 J. Novo et al. details the combination with the greedy methodology to perform a link cutting procedure and an automatic net division procedure. In Section 5 representative examples are included to show the capabilities of the different approaches. Finally, Section 6 expounds the conclusions. 2 Brief Description of Topological Active Volumes The Topological Active Volumes (TAV) model is an active contour model focused on extraction and modelization of volumetric objects in a 3D scene [3].