Este Projeto propoe estudar e desenvolver metodos de segmentacao baseados em algoritmos evolutivos fuzzy intervalares e avalia-los em comparacao com outros metodos de segmentacao das tres classes acima referidas (thresholding, baseadas em bordas e baseadas em regioes). Sao objetivos especificos deste Projeto: i) Estudar modelos de automatos celulares fuzzy e de algoritmos geneticos fuzzy e sua aplicabilidade no processamento de imagens; ii) desenvolver modelos de segmentacao de imagens baseados nos metodos do item i), agregando as caracteristicas proporcionadas pela matematica intervalar e pela logica fuzzy do tipo-2 para o tratamento da incerteza inerente a este tipo de problema; e, iii) produzir uma avaliacao separada dos metodos quando aplicados a diferentes tipos de componentes do equipo.Publicacoes produzidas:- WUW SIBGRAPI 2014: Deteccao Automatica de Defeitos na Fabricacao de Equipos Utilizando Processamento de Imagens- TCC de Graduacao (UFPEL): Estudo e Aplicacao de Metodos de Segmentacao de Imagens para o Diagnostico de Falhas na Fabricacao de Equipos Music rankings are mainly aimed at marketing purposes but also help users in discovering new music as well as comparing songs, artists, albums, etc. This project presents an interactive way to visualize, find and compare music rankings using different techniques, including the display of music attributes. The technique was conceived after a remote survey we conducted to collect data about how people choose music. Our visualization makes easier to obtain information about artists and tracks, and also to compare the data gathered from the two major music rankings, namely Billboard and Spotify. The tool also provides interaction with personal data. The results obtained from experiments with potential users showed that the tool was considered interesting, with an attractive layout. Compared to traditional music ranking tools users preferred ours, but with not such a large difference from using Billboard or Spotify. However, when evaluating the usability of our tool, results are positive, mainly concerning to data filtering and comparison features. MusicVis was also considered easy to learn. Project under my supervision at IFSUL: Project PD00160616/068.Students: David Aron Pires Fagundes and Lucas dos Santos LanzariniPublications:- ACM SAC 2017: Exploring Music Rankings with Interactive Visualization- Master Thesis (UFRGS): MusicVis: Interactive Visualization Tool For Exploring Music Rankings- SVR 2016: Interactive Music Ranking Visualization- X MOCITEC 2016 and MOVACI 2016 Several applications, in several areas of human activity, treat data obtained from sampling, using different sensors, or produce them through the execution of computational processes. In addition, the availability of such data more broadly as a result of the diffusion of information and communication technologies has dramatically increased the amount of data available. Visualization of data and information is focused on helping to explore and accelerate the understanding of data through interactive tools that explore the capacity of the human perceptual system. The central challenge in terms of design is to produce the mapping in a cognitively useful way while taking advantage of the current interaction technology to allow the user to explore the information space and eventually change the mapping parameters. In addition to the visualization and interaction aspects, the aggregation of data analysis methods is essential so that users can migrate from