Estabilització del color de la fracció cel·lular de sang de porc deshidratada per atomització

L’ús de colorants alimentaris pot ser controvertit, ja que la seva presència s’associa amb problemes provocats pel seu consum a llarg termini, o perquè es tem que siguin emprats per dissimular deficiències en la qualitat del producte. Aquesta preocupació és una tendència creixent entre els consumidors i ha portat a moltes empreses del sector alimentari a revisar la formulació dels seus productes i substituir, sempre que sigui econòmica i tecnològicament possible, els colorants artificials per colorants naturals. L’hemoglobina procedent de la sang dels escorxadors industrials podria ser una font important de colorant vermell natural degut a les grans quantitats generades diàriament. A més, s' evitaria que anés a parar a les aigües residuals. El seu ús com a colorant vermell natural queda supeditada al fet de trobar alguna substància o sistema capaç de protegir-la de l’oxidació durant el procés de deshidratació i el posterior període d’emmagatzematge ja que l’hemoglobina és poc estable i es poden produir canvis en el seu color. Inicialment l’hemoglobina presenta un color vermell brillant. La seva desoxigenació comporta un canvi a color porpra. I l’oxidació del ferro confereix a la molècula un indesitjable color marró. En l’estudi que aquí es presenta es pretén estabilitzar el color de l’hemoglobina de sang porcina tant durant la seva deshidratació per atomització com durant l’emmagatzematge a temperatura ambient de la pols obtinguda afegint al concentrat d’hemoglobina, prèviament a la deshidratació, combinacions de diferents substàncies que puguin actuar de manera complementària en l’estabilització del ferro hèmic enfront la seva oxidació. L’objectiu d’aquest treball és determinar si la seva combinació amb agents antioxidants comporta una millora en l’estabilització de la forma reduïda de l’hemoglobina tant durant la deshidratació per atomització com durant l’emmagatzematge de la pols a temperatura ambient

Scene Classification Using a Hybrid Generative/Discriminative Approach

We investigate whether dimensionality reduction using a latent generative model is beneficial for the task of weakly supervised scene classification. In detail, we are given a set of labeled images of scenes (for example, coast, forest, city, river, etc.), and our objective is to classify a new image into one of these categories. Our approach consists of first discovering latent ";topics"; using probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature here applied to a bag of visual words representation for each image, and subsequently, training a multiway classifier on the topic distribution vector for each image. We compare this approach to that of representing each image by a bag of visual words vector directly and training a multiway classifier on these vectors. To this end, we introduce a novel vocabulary using dense color SIFT descriptors and then investigate the classification performance under changes in the size of the visual vocabulary, the number of latent topics learned, and the type of discriminative classifier used (k-nearest neighbor or SVM). We achieve superior classification performance to recent publications that have used a bag of visual word representation, in all cases, using the authors' own data sets and testing protocols. We also investigate the gain in adding spatial information. We show applications to image retrieval with relevance feedback and to scene classification in videos

Model-based objects recognition in industrial environments for autonomous vehicles control

Behavior-based navigation of autonomous vehicles requires the recognition of the navigable areas and the potential obstacles. In this paper we describe a model-based objects recognition system which is part of an image interpretation system intended to assist the navigation of autonomous vehicles that operate in industrial environments. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using a rule-based cooperative expert system

Model-based objects recognition in man-made environments

We describe a model-based objects recognition system which is part of an image interpretation system intended to assist autonomous vehicles navigation. The system is intended to operate in man-made environments. Behavior-based navigation of autonomous vehicles involves the recognition of navigable areas and the potential obstacles. The recognition system integrates color, shape and texture information together with the location of the vanishing point. The recognition process starts from some prior scene knowledge, that is, a generic model of the expected scene and the potential objects. The recognition system constitutes an approach where different low-level vision techniques extract a multitude of image descriptors which are then analyzed using a rule-based reasoning system to interpret the image content. This system has been implemented using CEES, the C++ embedded expert system shell developed in the Systems Engineering and Automatic Control Laboratory (University of Girona) as a specific rule-based problem solving tool. It has been especially conceived for supporting cooperative expert systems, and uses the object oriented programming paradigm

Implementation of a robust coded structured light technique for dynamic 3D measurements

This paper presents the implementation details of a coded structured light system for rapid shape acquisition of unknown surfaces. Such techniques are based on the projection of patterns onto a measuring surface and grabbing images of every projection with a camera. Analyzing the pattern deformations that appear in the images, 3D information of the surface can be calculated. The implemented technique projects a unique pattern so that it can be used to measure moving surfaces. The structure of the pattern is a grid where the color of the slits are selected using a De Bruijn sequence. Moreover, since both axis of the pattern are coded, the cross points of the grid have two codewords (which permits to reconstruct them very precisely), while pixels belonging to horizontal and vertical slits have also a codeword. Different sets of colors are used for horizontal and vertical slits, so the resulting pattern is invariant to rotation. Therefore, the alignment constraint between camera and projector considered by a lot of authors is not necessary

An overview of the advantages and constraints of coded pattern projection techniques for autonomous navigation

The absolute necessity of obtaining 3D information of structured and unknown environments in autonomous navigation reduce considerably the set of sensors that can be used. The necessity to know, at each time, the position of the mobile robot with respect to the scene is indispensable. Furthermore, this information must be obtained in the least computing time. Stereo vision is an attractive and widely used method, but, it is rather limited to make fast 3D surface maps, due to the correspondence problem. The spatial and temporal correspondence among images can be alleviated using a method based on structured light. This relationship can be directly found codifying the projected light; then each imaged region of the projected pattern carries the needed information to solve the correspondence problem. We present the most significant techniques, used in recent years, concerning the coded structured light method

Espai creatiu. Expressió artística. Arrossegar color: traç

Pastel sobre paper 50 x 65 cm. Treball realitzat en els tallers de l'assignatura troncal d'educació artística de 2n de Mestres d'Educació Infantil durant el curs 2007-08. Ha estat proposat, dirigit i fotografiat o escanejat per la professora Muntsa Calbó, amb l'ajut de Dayan Castañeda

Tú, con tu color, ¡allá triunfas! La construcción de la identidad social en jóvenes inmigrantes

En la última década, Barcelona se ha convertido en una importante receptora de población inmigrante. Según datos estadísticos, el 14, 62% de la población es inmigrante, de los cuales el 29, 5% son jóvenes (Idescat 2010). Muchos de estos han arribado siguiendo el típico proceso de reagrupamiento familiar. El siguiente trabajo tiene por objetivo presentar la experiencia de distintos jóvenes sobre el fenómeno migratorio que experimentaron durante su adolescencia/ primera juventud. Lleva el propósito de destacar la importancia de dicha vivencia en la conformación de su identidad social. Se intentará indagar tanto sobre el papel que jugaron los diferentes actores implicados en el proceso de acogida y los años subsiguientes: amigos, familiares, escuela, administraciones, etc., como sobre el uso del espacio público y el espacio virtual en tanto facilitadores/obstaculizadores de su constitución como ciudadanos autónomos