Mineral compositions visualization implementing the spinel prism

An important problem in Mineralogy, is to accomplish an adequate representation of a great amount of data coming from different geological environments, in order to characterize a particular geologic region in terms of its tectonic setting. With such Databases of mineral compositions it is possible to define the compositional fields that constitute a reference pattern to classify an unclassified data sample. Mineralogic patterns are represented in ad-hoc tree dimensional spaces that could be prismatic or tetragonal. In this context we developed the Spinel Prism Viewer, a Geological Visualization Application consisting on a 3D Viewer which allows the user to watch, explore and interact with the Spinel Prism and different Datasets at the same time. The Viewer provides projection tools in 2D and 3D, helping the users to understand the tectonic identity of a particular mineral composition represented on the view.Presentado en el VII Workshop Computación Gráfica, Imágenes y Visualización (WCGIV)Red de Universidades con Carreras en Informática (RedUNCI

Providing Security for Storing and Sharing Video Data in Cloud

Social networking has become a part of daily life of every smart phone user. Sharing real time images and videos produces huge amount of traffic as well as data every day. Tremendous amount of video data is stored and shared through multiple web and mobile application. This has given the rise to the need of secure infrastructure to store and share the user’s private videos. In this paper, we propose an infrastructure which allows users to store and share their video data securely over cloud. Only the authenticated user can get access to the shared videos. Any user who does not have rights to access the video will not be able to get any information about the video. The security of video data is guaranteed even if the storage is hacked

A parameter adjustment method for relevance feedback

Various relevance feedback techniques have been applied in Content-Based Image Retrieval (CBIR). By using relevance feedback, CBIR allows the user to progressively refine the system\u27s response to a query. In this paper, after analyzing the feature distributions of positive and negative feedbacks, a new parameter adjustment method for iteratively improving the query vector and adjusting the weights is proposed. Experimental results demonstrate the effectiveness of this method.<br /

Mineral compositions visualization implementing the spinel prism

An important problem in Mineralogy, is to accomplish an adequate representation of a great amount of data coming from different geological environments, in order to characterize a particular geologic region in terms of its tectonic setting. With such Databases of mineral compositions it is possible to define the compositional fields that constitute a reference pattern to classify an unclassified data sample. Mineralogic patterns are represented in ad-hoc tree dimensional spaces that could be prismatic or tetragonal. In this context we developed the Spinel Prism Viewer, a Geological Visualization Application consisting on a 3D Viewer which allows the user to watch, explore and interact with the Spinel Prism and different Datasets at the same time. The Viewer provides projection tools in 2D and 3D, helping the users to understand the tectonic identity of a particular mineral composition represented on the view.Presentado en el VII Workshop Computación Gráfica, Imágenes y Visualización (WCGIV)Red de Universidades con Carreras en Informática (RedUNCI

Extracción de características de la cubierta vegetal del viñedo mediante imágenes RGB y RGIR obtenidas de forma dinámica

Diversas investigaciones han intentado resolver el problema de identificación de frutos u hojas mediante imágenes digitales, pero sólo lo han logrado parcialmente. Por esto, el objetivo de este trabajo es explorar una metodología de identificación que permita estimar áreas de hojas y racimos en viñedos, empleando imágenes en el espectro visible (RGB) y en el infrarrojo cercano (RGIR). El problema de la identificación fue abordando por dos vías, forma y color. En el caso de la identificación por forma se empleó la transformada circular de Hough y en el de la identificación por color se emplearon las técnicas de clasificación no supervisada denominadas kmeans y Fuzzy c-means. Se determinó que la clasificación mediante k-means sobre el espacio L*a*b*, para imágenes RGB y sobre el índice SAVI en las imágenes RGIR, son las técnicas más adecuadas. En cuanto a la identificación por forma, ésta resultó aplicable sólo en condiciones muy particulare

Relating Electrophotographic Printing Model and IS013660 Standard Attributes

A mathematical model of the electrophotographic printing process has been developed. This model can be used for analysis. From this a print simulation process has been developed to simulate the effects of the model components on toner particle placement. A wide variety of simulated prints are produced from the model\u27s three main inputs, laser spread, charge to toner proportionality factor and toner particle size. While the exact placement of toner particles is a random process, the total effect is not. The effect of each model parameter on the ISO 13660 print quality attributes line width, fill, raggedness and blurriness is described