Análise de formas planas em imagens digitais

Given the widespread use of computers, the visual pattern recognition task has been automated in order to address the huge amount of available digital images. Many applications use image processing techniques as well as feature extraction and visual pattern recognition algorithms in order to identify people, to make the disease diagnosis process easier, to classify objects, etc. based on digital images. Among the features that can be extracted and analyzed from images is the shape of objects or regions. In some cases, shape is the unique feature that can be extracted with a relatively high accuracy from the image. In this work we present some of most important shape analysis methods and compare their performance when applied on three well-known shape image databases. Finally, we propose the development of a new shape descriptor based on the Hough Transform.

Mudanças climáticas previstas para o final do século afetam o desempenho e o desenvolvimento esquelético de larvas de tambaqui (Colossoma macropomum)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Eficiência de uso de fósforo por dois genótipos de cana-de-açúcar cultivados em solução nutritiva

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Detecção de impressões digitais fraudulentas utilizando padrões mapeados localmente em multiescala

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Detecção de impressões digitais falsas no reconhecimento biométrico de pessoas

Pós-graduação em Ciência da Computação - IBILCE

Multivariate analysis for selecting animals for experimental research

Background Several researchers seek methods for the selection of homogeneous groups of animals in experimental studies, a fact justified because homogeneity is an indispensable prerequisite for casualization of treatments. The lack of robust methods that comply with statistical and biological principles is the reason why researchers use empirical or subjective methods, influencing their results. Objective To develop a multivariate statistical model for the selection of a homogeneous group of animals for experimental research and to elaborate a computational package to use it. Methods The set of echocardiographic data of 115 male Wistar rats with supravalvular aortic stenosis (AoS) was used as an example of model development. Initially, the data were standardized, and became dimensionless. Then, the variance matrix of the set was submitted to principal components analysis (PCA), aiming at reducing the parametric space and at retaining the relevant variability. That technique established a new Cartesian system into which the animals were allocated, and finally the confidence region (ellipsoid) was built for the profile of the animals’ homogeneous responses. The animals located inside the ellipsoid were considered as belonging to the homogeneous batch; those outside the ellipsoid were considered spurious. Results The PCA established eight descriptive axes that represented the accumulated variance of the data set in 88.71%. The allocation of the animals in the new system and the construction of the confidence region revealed six spurious animals as compared to the homogeneous batch of 109 animals. Conclusion The biometric criterion presented proved to be effective, because it considers the animal as a whole, analyzing jointly all parameters measured, in addition to having a small discard rate.

Avanços da informática em enfermagem no Brasil: revisão integrativa

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Caracterização biométrica e superação de dormência em sementes de Chloroleucon foliolosum (Benth.) G. P. Lewis

The objectives of this work were performing the biometric characterization of seed Chloroleucon foliosolum (Benth) G. P. (Lewis) from the municipality Ituaçu - BA, and analyze methods of scarification and temperature on germination. The seeds were characterized according to measurements of length, width and thickness, weight of thousand seeds, and water content. Were employed methods of scarification with sandpaper and sulfuric acid for 15 and 30 minutes, and not scarified seeds, combined with germination temperatures of 20, 25, 30 and 35 °C. Percentage and germination speed index, and percentage of primary root protrusion, abnormal seedlings, hard seeds and dead seeds were evaluated. The means of length, width and thickness was 6.03, 4.30 and 3.47 mm, respectively. The weight of a thousand seeds was 67.3 g with water content of 6.1%. Whereas the percentage germination with normal seedling, the method of scarification with sulfuric acid for 15 or 30 minutes combined to germination temperatures of 25 or 30 °C were effective in overcoming dormancy of Chloroleucon foliolosum.

Desempenho agronômico do lodo de esgoto como fonte de nitrogênio em bananeiras

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Plataforma computacional fuzzy para avaliação nos estágios do tomateiro dos efeitos da irrigação e salinidade da água

Pós-graduação em Agronegócio e Desenvolvimento - Tupã

Análise do descritor de padrões mapeados localmente em multiescala para classificação de textura em imagens digitais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Ciclo testicular e espermatogênese de Devario aequipinnatus (cypriniformes, cyprinidae) submetido a diferentes temperaturas

Pós-graduação em Ciência e Tecnologia Animal - FEIS

Atributos do solo e modalidade de semeadura na consorciação de milho com forrageiras e desempenho agronômico do feijoeiro em sucessão

Pós-graduação em Agronomia - FEIS

Inter-relação de Meloidogyne enterolobii e Pratylenchus brachyurus em variedades de goiabeiras

Pós-graduação em Agronomia (Produção Vegetal) - FCAV

Agua de reuso e seu efeito sobre parâmetros fisiológicos em manjericão (Ocimum basilicum L.)

Pós-graduação em Agronomia (Proteção de Plantas) - FCA