Extração automática de cruzamentos simples e complexos de rodovias em imagens digitais de alta resolução

Pós-graduação em Ciências Cartográficas - FCT

Classificação de tábuas de madeira usando processamento de imagens digitais e aprendizado de máquina

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Inserção e extração de marca d'água em imagens digitais usando a transformada wavelet

Pós-graduação em Engenharia Elétrica - FEIS

Segmentação de texturas em imagens digitais utilizando wavelets redundantes

Pós-graduação em Matematica Aplicada e Computacional - FCT

Orientação indireta de imagens digitais usando telhados de duas águas como apoio de campo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Extração automatica de feições rodoviáris em imagens digitais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Ptose palpebral: avaliação do posicionamento palpebral por imagens digitais

Objectives: To assess the palpebral position in patients with congenital or acquired ptosis, related to margin, sulcus and eyebrow, trying to identify differences between types of ptosis. Methods: A retrospective evaluation of patients with palpebral ptosis treated at the Ambulatory of Ophthalmic Plastic Surgery - Faculdade de Medicina de Botucatu (UNESP) was conducted, from 1995 to 2006. Data were recovered from electronic medical charts as well as digital image files. Eighty-seven patients were assessed, according to age, gender and data related to ptosis, such as time of appearance and type of palpebral ptosis. Palpebral ptosis was classified in two groups: congenital and acquired ptosis. Measurements were taken of margin-reflex distance (MRD), margin sulcus distance (MSD) and margin eyebrow distance (MED) using digital measurements of photos obtained. The corneal diameter of each individual patients was the unit of measure used. All data was transferred to an Excel Spreadsheet and received statistical treatment. Results: Statistical analysis revealed there is no association between the presence of ptosis and gender, or the type of ptosis and gender. There was a significant difference between eyelid with and without ptosis for MRD. However, in relation to the type of ptosis (congenital or acquired), MRD did not present any significant difference. The MSD and MED measurements were higher in acquired ptosis when compared to congenital ptosis. Conclusion: Assessment of palpebral positioning using digital measures endorse that MRD is smaller in patients with palpebral ptosis and similar in congenital or acquired ptosis, whereas MSD and MED presented higher values in acquired ptosis.

Aplicação de programa de análise de imagens na interpretação de fotomicrografias de alta resolução de argilominerais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Extração de feições rodoviárias em imagens digitais: Metodologias desenvolvidas pelo GP-F&VC

Several kinds of research in road extraction have been carried out in the last 6 years by the Photogrammetry and Computer Vision Research Group (GPF&VC - Grupo de Pesquisa em Fotogrametria e Visão Computacional). Several semi-automatic road extraction methodologies have been developed, including sequential and optimizatin techniques. The GP-F&VC has also been developing fully automatic methodologies for road extraction. This paper presents an overview of the GP-F&VC research in road extraction from digital images, along with examples of results obtained by the developed methodologies.

Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear

The edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing model consists in a selective process, where homogeneous areas of the image are smoothed intensely in agreement with the temporal evolution applied to the model. The level of smoothing is related with the amount of undesired information contained in the image, i.e., the model is directly related with the optimal level of smoothing, eliminating the undesired information and keeping selectively the interest features for Cartography area. The model is primordial for cartographic applications, its function is to realize the image preprocessing without losing edges and other important details on the image, mainly airports tracks and paved roads. Experiments carried out with digital images showed that the methodology allows to obtain the features, e.g. airports tracks, with efficiency.

Análise de imagens no estudo da porosidade em latossolo cultivado com batata (Solanum tuberosum L.) sob dois sistemas de irrigação

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Extração semi-automática de rodovias em imagens digitais usando técnicas de correlação e o princípio de teste ativo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Geração automática de estereomodelos a partir de imagens digitais georreferenciadas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Mosaicagem de imagens digitais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Desempenho clínico da flurescência, imagens digitais ampliadas e ICDAS na detecção de cárie em superfícies oclusais

Pós-graduação em Ciências Odontológicas - FOAR