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 court cases of the 3rd foreign 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 touching on the newest collaborations with Professor Mira and contributions typically similar with theoretical, conceptual and methodological features linking AI and information engineering with neurophysiology, clinics and cognition. the second one quantity comprises all of the contributions attached with biologically encouraged tools and strategies for fixing AI and data engineering difficulties in several program domains.

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Bosch et al. Fig. 8. Signature for a vehicle Fig. 9. Signature for a pedestrian interesting information. Orientation let us distinguish, basing on its evolution, between fire and another kind of objects. In case of the fire, the behaviour of this parameter will be random, while it remains constant for other objects. Distinction between person and vehicle can be done with the orientation: ideally, 90o for the person and 0o for the vehicle. Finally, the signature parameter is also useful to provide us with another way to identify objects.

With the aim of 3D reconstruction, Tognola et al. [6] segment the mandibular surface after enhancing the image. This process consists of a histogram equalization followed by a thresholding. The improvement is insufficient in most cases. Sohmura et al. [7] replace the artifacted teeth with the CT representation of a dental cast previously registered. It implies having a patient’s accurate cast, CT scan with the markers used for the registration and high accuracy at the registration process. In the second category, avoiding the FBP algorithm, Wang et al.

We can mention applications like non-destructive testing [1], face recognition [2], medical characterization of blood vessels [3], medical breast cancer detection [4], land mine detection [5], etc. Forest fire surveillance and preservation of natural heritage have a great impact on environment. For this reason, in recent years, several of our works have been focused on applying signal processing techniques to thermal images in order to detect early forest fires. In these works, the proposed algorithms are based on a pixel by pixel processing [6], [7], [8].

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