Horse spleen segmentation technique as large animal model of preclinical trials

The parenchymal distribution of the splenic artery was studied in order to obtain anatomical basis for partial splenectomy. Thirty two spleens were studied, 26 spleens of healthy horses weighing 320 to 450kg, aged 3 to 12 years and 6 spleens of fetus removed from slaughterhouse. The spleens were submitted to arteriography and scintigraphy in order to have their vascular pattern examined and compared to the external aspect of the organ aiming establish anatomo-surgical segments. All radiographs were photographed with a digital camera and the digital images were submitted to a measuring system for comparative analysis of areas of dorsal and ventral anatomo-surgical segments. Anatomical investigations into the angioarchitecture of the equine spleen showed a paucivascular area, which coincides with a thinner external area, allowing the organ to be divided in two anatomo-surgical segments of approximately 50% of the organ each.

Magnetic color-flavor-locked stars

Using the solutions of the gap equations of the magnetic-color-flavor-locked (MCFL) phase of paired quark matter in a magnetic field, and taking into consideration the separation between the longitudinal and transverse pressures due to the field-induced breaking of the spatial rotational symmetry, the equation of state (EoS) of the MCFL phase is self-consistently determined. Implications for stellar models of magnetized (self-bound) strange stars and hybrid (MCFL core) stars are discussed.

Dynamic texture segmentation based on deterministic partially self-avoiding walks

Recently there has been a considerable interest in dynamic textures due to the explosive growth of multimedia databases. In addition, dynamic texture appears in a wide range of videos, which makes it very important in applications concerning to model physical phenomena. Thus, dynamic textures have emerged as a new field of investigation that extends the static or spatial textures to the spatio-temporal domain. In this paper, we propose a novel approach for dynamic texture segmentation based on automata theory and k-means algorithm. In this approach, a feature vector is extracted for each pixel by applying deterministic partially self-avoiding walks on three orthogonal planes of the video. Then, these feature vectors are clustered by the well-known k-means algorithm. Although the k-means algorithm has shown interesting results, it only ensures its convergence to a local minimum, which affects the final result of segmentation. In order to overcome this drawback, we compare six methods of initialization of the k-means. The experimental results have demonstrated the effectiveness of our proposed approach compared to the state-of-the-art segmentation methods.

Dynamic texture analysis and segmentation using deterministic partially self-avoiding walks

Dynamic texture is a recent field of investigation that has received growing attention from computer vision community in the last years. These patterns are moving texture in which the concept of selfsimilarity for static textures is extended to the spatiotemporal domain. In this paper, we propose a novel approach for dynamic texture representation, that can be used for both texture analysis and segmentation. In this method, deterministic partially self-avoiding walks are performed in three orthogonal planes of the video in order to combine appearance and motion features. We validate our method on three applications of dynamic texture that present interesting challenges: recognition, clustering and segmentation. Experimental results on these applications indicate that the proposed method improves the dynamic texture representation compared to the state of the art.

Efecto del color del sustrato en el comportamiento de fijación del caballito de mar de hocico corto (Hippocampus hippocampus)

El caballito de mar (Hippocampus hippocampus) presenta una fase planctónica durante los primeros días de su vida. Cuando cambia a la fase bentónica ha de fijarse en un sustrato adecuado con su cola prensil. Este estudio, realizando recuentos diarios de la distribución de los caballitos en el acuario, ha obtenido como resultado que no existe una preferencia entre el color rojo y azul del sustrato a la hora de la fijación, no obstante, se observó una adaptación progresiva de los peces al sustrato artificial.The seahorse (Hippocampus hippocampus) presents a planktonic phase during the first days of life. During settlement, it fixes to a suitable substratum using its prehensile tail. This study, through a daily counts of the seahorse distribution in the aquarium, established that juveniles seahorse do not show a preference between the red or blue fixation substrates. However, it was observed a progressive adaptation of the fish to the artificial handmade substratum.

Efecto de la intensidad de luz en el ser humano y su expresión a través del color de la vestimenta

Asigantura. Etología de los recursos pesqueros (Licenciatura Ciencias del mar)

Estudio de la selección por el color del alimento en la tortuga boba Caretta caretta tras la eclosión

The behavior of newborn pups of loggerhead turtles (Caretta caretta) towards a potential food after hatching and before eating food for the first time was studied. There was no significant time trend approach and bite of potentially edible objects based on their color or size. However, a clear trend was observed for those objects that are transparent, white or red, independently the sex of the animal. Furthermore, it was verified that the turtles do not have a biting behavior to feed from first contact with water, but it comes after 3 or 4 days. There is also a learning process that determines the choice of targets of further attacks.

Sistema biométrico de detección facial sobre vídeo basado en patrones binarios locales aplicados sobre el color

Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)