Sistema inteligente para o processamento de imagens digitais intrabucais oclusais

Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

Sistema inteligente para o processamento de imagens digitais intrabucais oclusais

Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.

Processamento e análise de imagens na caracterização da superfície do titânio submetido a um ensaio de cultura de células

This work aims to develop a methodology for analysis of images using overlapping, which assists in identification of microstructural features in areas of titanium, which may be associated with its biological response. That way, surfaces of titanium heat treated for 08 (eight) different ways have been subjected to a test culture of cells. It was a relationship between the grain, texture and shape of grains of surface of titanium (attacked) trying to relate to the process of proliferation and adhesion. We used an open source software for cell counting adhered to the surface of titanium. The juxtaposition of images before and after cell culture was obtained with the aid of micro-hardness of impressions made on the surface of samples. From this image where there is overlap, it is possible to study a possible relationship between cell growth with microstructural characteristics of the surface of titanium. This methodology was efficient to describe a set of procedures that are useful in the analysis of surfaces of titanium subjected to a culture of cells

Implementação do algoritmo (RTM) para processamento sísmico em arquiteturas não convencionais

With the growth of energy consumption worldwide, conventional reservoirs, the reservoirs called "easy exploration and production" are not meeting the global energy demand. This has led many researchers to develop projects that will address these needs, companies in the oil sector has invested in techniques that helping in locating and drilling wells. One of the techniques employed in oil exploration process is the reverse time migration (RTM), in English, Reverse Time Migration, which is a method of seismic imaging that produces excellent image of the subsurface. It is algorithm based in calculation on the wave equation. RTM is considered one of the most advanced seismic imaging techniques. The economic value of the oil reserves that require RTM to be localized is very high, this means that the development of these algorithms becomes a competitive differentiator for companies seismic processing. But, it requires great computational power, that it still somehow harms its practical success. The objective of this work is to explore the implementation of this algorithm in unconventional architectures, specifically GPUs using the CUDA by making an analysis of the difficulties in developing the same, as well as the performance of the algorithm in the sequential and parallel version

Análise da imagem projectada e percebida do destino Lisboa através da fotografia digital. A rede Instagram como nova resposta para a recolha de dados.

O Turismo e a Fotografia têm uma relação muito estreita, sendo, para muitos turistas, a prática fotográfica um elemento essencial na experiência turística. Esta relação é, desde há muito, explorada pelas Organizações de Gestão do Destino (OGD) na vertente de promoção do destino e da sua imagem projectada, uma vez que as fotografias são uma forma de materializar uma ideia/imagem em relação a um determinado local, de aproximar o turista da experiência real, motivando-o à compra. No entanto é menos comum que as organizações do destino partam da fotografia para compreender o turista. Actualmente e com a rápida e abrangente disseminação de informação típica da era digital, os utilizadores/consumidores/visitantes têm um papel tão ou mais importante que as OGD’s na construção da imagem de um destino. É fundamental que as organizações não só percebam qual o tipo de informação que está a ser gerada entre os utilizadores, como que monitorizem preferências que surgem no seio das redes sociais, podendo deste modo antever tendências e, consequentemente criar novas estratégias, não só em termos de marketing e promoção, como de planeamento de negócio, especialmente no que respeita ao posicionamento e diferenciação perante a concorrência. Para ser possível monitorizar esta informação é necessário medir os seus indicadores, sendo importante criar estratégias e ferramentas de recolha. O que se pretende, a partir deste estudo, é defender a viabilidade da fotografia digital enquanto objecto de estudo, uma vez que é uma aliada na compreensão da imagem projectada pela OGD’s, mas também, e a cada vez mais, da imagem percebida e projectada pelos visitantes, a partir do conteúdo gerado pelos turistas. Tomamos como caso de estudo a cidade de Lisboa, a qual conhece nos últimos anos um grande impulso na sua atractividade turística. Tendo como base estudos similares relacionados com outros destinos construímos um sistema metodológico apoiado em estudos análogos, e no desenvolvimento de software de recolha de dados a partir de uma rede social de partilha de imagens – o Instagram. Foi possível recolher uma amostragem de imagens de Lisboa criadas por turistas, bem como o lote de imagens usadas por uma OGD para promoção de Lisboa. Após o nosso processamento de dados, foi possível efectuar uma análise de conteúdo dessas imagens chegando ao conjunto de atributos que caracteriza o seu conteúdo. Esse conteúdo foi então comparado, de modo a concluirmos sobre a semelhança ou disparidade entre as imagens usadas para promover Lisboa e aquelas que parecem transmitir aquilo que em Lisboa realmente impressiona. As principais conclusões apontam para uma concordância entre os atributos mais frequentes das fotografias tiradas por OGD e Turistas. Porém existe discordância entre os atributos menos importantes, isto é, menos presentes. A metodologia utilizada abre novos caminhos na utilização de fotos de redes sociais para estudo do comportamento do turista e da imagem do destino.

Processamento digital de imagens orbitais para obtenção de classificação do uso da terra da indicação geográfica vitivinícola Campanha, Brasil.

O Projeto Indicação de Procedência Campanha coordenado pela Embrapa Uva e Vinho é um estudo multidisciplinar cujo foco é a caracterização da área da indicação geográfica vitivinícola, limitada a oeste pela Argentina, a sul-sudoeste pelo Uruguai, abrangendo grande parte da ?Metade Sul? do Estado do Rio Grande do Sul. A viticultura ocorre em polos produtores sob condições de uso da terra diversos e distantes entre si dentro da região. Então, foram definidos nove setores de ocorrência de vinhedos, onde foi testado o método de classificação digital de imagem (PDI). A escolha da setorização para emprego de PDI se baseia na premissa de que quanto menor a região melhor seria a identificação das classes de uso por uma imagem de satélite com melhor resolução possível, propiciando qualidade maior de classificação.

Desenvolvimento de um algoritmo para identificação e correção de spikes em espectroscopia Raman de imagem

Raman imaging spectroscopy is a highly useful analytical tool that provides spatial and spectral information on a sample. However, CCD detectors used in dispersive instruments present the drawback of being sensitive to cosmic rays, giving rise to spikes in Raman spectra. Spikes influence variance structures and must be removed prior to the use of multivariate techniques. A new algorithm for correction of spikes in Raman imaging was developed using an approach based on comparison of nearest neighbor pixels. The algorithm showed characteristics including simplicity, rapidity, selectivity and high quality in spike removal from hyperspectral images.

Influência da atividade física na qualidade de vida e auto-imagem de mulheres incontinentes

Our aim was to verify the influence of a physical activities proposal in the quality of life and self image of incontinent women. This study was comparative and exploratory and was developed in 16 weeks. Thirty-seven women with and without urinary incontinence (IU) participated in the study. After the study, significant improvement in general health perception (p < 0.001), UI impact (p = 0.035), physical limitations (p = 0.015), personal relations, (p = 0.048), sleep and disposition (p = 0.012) and concerned with the gravity measurements (p = 0.011) was observed. Concerning self image, alterations in appearance were not observed; however, concerning body satisfaction, the women felt less satisfied with their bodies (p = 0.007). There was a reduction in the number of regions where they felt pain (p = 0.0003) and that they did not like (p = 0.0017). In conclusion, the Physical Education professionals using a systematized and integrated physical activities program can lead the women with IU to significant improvement in the perception of their quality of life and health concerning their self image with improvement of the IU symptoms and reduction of frequency and amount of urinary loss.

Abnormally increased iron concentration in basal ganglia in Shy-Drager syndrome MR imaging and autonomic study: RM imagem e estudo autonômico

Report of an early case of Shy-Drager syndrome in a 67 year-old woman patient. Autonomic failure was diagnosed by functional evaluation as well as laboratory tests. MR imaging disclosed a prominent putamina hypodensity in T2-weighted images at high field strength due to iron increased depositing in this basal ganglia. MR imaging evidences confirm Shy-Drager syndrome diagnosis, and contributes for differential diagnosis of idiopathic hypotension (pure autonomic failure) in special in SDS early cases.

As contribuições de Seymour Fisher para os estudos em imagem corporal

Universidade Estadual de Campinas . Faculdade de Educação Física

Metodologia para descrição da orientação do corpo humano

Universidade Estadual de Campinas. Faculdade de Educação Física

Efeitos do estresse fisico no processamento das informações visuais perifericas em motoristas do transporte coletivo urbano

Universidade Estadual de Campinas. Faculdade de Educação Física

Anosognosia : imagem corporal na hemiplegia

Universidade Estadual de Campinas . Faculdade de Educação Física

Corpo, movimento e cultura : um estudo fotoetnográfico da imagem do arqueiro nos X e XI Jogos dos Povos Indígenas

Universidade Estadual de Campinas . Faculdade de Educação Física

Relações entre as dimensões da Imagem Corporal : um estudo em homens brasileiros

Universidade Estadual de Campinas . Faculdade de Educação Física