Materialografia quantitativa de micro estruturas complexas baseada na segmentação por texturas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Segmentação de imagens e reconstrução de modelos aplicada a estruturas ósseas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Flutuação na segmentação de palavras: relações entre constituintes prosódicos e convenções ortográficas na escrita infantil

In this paper, we analyzed situations where (a) one vocabular structure showed in two different ways in the same text or (b) had erasures. These structures fluctuations were extracted from texts written by children that, when the registers were done, were second graders of elementary school. Concerning the results, we verified: (1) that more than one prosodic constituent showed in the basis of fluctuation of vocabulary structures; and (2) that at least one of the limits of orthographic words was maintained in fluctuation structures. These results point to the recuperation done by writers with information they have access due to their insertion in (1) oral practices and (2) literacy practices.

Contagem automatizada de veículos utilizando segmentação estatística

In this work was developed a program capable of performing automatic counting of vehicles on roads. The problem of counting vehicles is using expensive techniques for its realization, techniques which often involve manual counting or degradation of the pavement. The main motivation for this work was the importance that the vehicle counting represents to the Traffic Engineer, being essential to analyze the performance of the roads, allowing to measure the need for installation of traffic lights, roundabouts, access ways, among other means capable of ensuring a continuous flow and safe for vehicles. The main objective of this work was to apply a statistical segmentation technique recently developed, based on a nonparametric linear regression model, to solve the segmentation problem of the program counter. The development program was based on the creation of three major modules, one for the segmentation, another for the tracking and another for the recognition. For the development of the segmentation module, it was applied a statistical technique combined with the segmentation by background difference, in order to optimize the process. The tracking module was developed based on the use of Kalman filters and application of simple concepts of analytical geometry. To develop the recognition module, it was used Fourier descriptors and a neural network multilayer perceptron, trained by backpropagation. Besides the development of the modules, it was also developed a control logic capable of performing the interconnection among the modules, mainly based on a data structure called state. The analysis of the results was applied to the program counter and its component modules, and the individual analysis served as a means to establish the par ameter values of techniques used. The find result was positive, since the statistical segmentation technique proved to be very useful and the developed program was able to count the vehicles belonging to the three goal..

Estimação de densidades e aplicação em segmentação de imagens

The aim of this work is to study some of the density estimation tec- niques and to apply to the segmentation of medical images. Medical images are used to help the diagnostic of tumor diseases as well as to plan and deliver treatment. A computer image is an array of values representing colors in some scale. The smallest element of the image to which it is possible to assign a value is called pixel. Segmen- tation is the process of dividing the image in portions through the classi¯cation of each pixel. The simplest way of classi¯cation is by thresholding, given the number of portions and the threshold values. Another method is constructing a histogram of the pixel values and assign a portion to each pike. The threshold is the mean between two pikes. As the histogram does not form a smooth curve it is di±cult to discern between true pikes and random variation. Density estimation methods allow the estimation of a smooth curve. Image data can be considered as mixture of different densities. In this project parametric and nonparametric methods for density estimation will be addressed and some of them are applied to CT image data

A segmentação não-convencional de palavras em textos do ciclo II do ensino fundamental

This paper deals with unconventional segmentations of words in texts produced by students of the last four years of elementary school. The main hypothesis is that these data allow us to observe the characteristics of written and spoken utterances. Through analysis of data on prosodic constituents, we argue that students deal with (conflicting) hypotheses on the organization of unstressed syllables into prosodic constituents: metric feet, prosodic word and clitic group. We found evidence that unconventional spellings have their main motivation in the difficulty of students to assign the status of written word to grammatical items that are prosodic clitics.

Segmentação de imagens utilizando competição e cooperação entre partículas

Este artigo apresenta uma proposta de extensão do modelo de aprendizado semi-supervisionado conhecido como Competição e Cooperação entre Partículas para a realização de tarefas de segmentação de imagens. Resultados preliminares mostram que esta é uma abordagem promissora.

Medição interferométrica de fase óptica através do método de segmentação do sinal amostrado

Pós-graduação em Engenharia Elétrica - FEIS

Segmentação de texturas em imagens digitais utilizando wavelets redundantes

Pós-graduação em Matematica Aplicada e Computacional - FCT

Segmentação interativa de imagens utilizando competição e cooperação entre partículas

Pós-graduação em Ciência da Computação - IBILCE

Situaciones de reflexión y sistematización ortográfica en el primer ciclo

Fil: Peret, Leticia. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.

Situaciones de reflexión y sistematización ortográfica en el primer ciclo

Fil: Peret, Leticia. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.

Situaciones de reflexión y sistematización ortográfica en el primer ciclo

Fil: Peret, Leticia. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.