Segmentation Method
Mostrando 25-36 de 109 artigos, teses e dissertações.
-
25. Diagnóstico da sífilis auxiliado por computador: proposta de um método híbrido fuzzy neural para análise de imagem de fluorescência. / Diagnosis of syphilis computer aided: proposal of a fuzzy neural hybrid method for image analysis of fluorescence.
In this work we have developed a prototype to analyze fluorescence microscopy images obtained from the FTA-ABS. This test is used as confirmation of the diagnosis of syphilis by identifying the bacteria causing the disease. A considerable problem in the analysis of such images is the subjectivity in the interpretation of fluorescence intensity shown, because
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/08/2011
-
26. Estudo de métodos de identificação multivariável baseados em subespaços aplicados ao monitoramento da integridade de estruturas / Study of subspace-based identification methods applied to structural health monitoring
Structural Health Monitoring (SHM) is a multidisciplinary research field, which covers techniques, technologies and methods which are essential to perform a continuous and intelligent diagnosis about mechanical structure integrity. The development of structures with improved durability, improved operational safety and reduced maintenance cost are the main re
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 29/07/2011
-
27. BUILDING 3D DETECTION AND EXTRACTION IN INFORMAL SETTLEMENT AREAS / DETECÇÃO E EXTRAÇÃO 3D DE EDIFICAÇÕES EM ÁREAS DE ASSENTAMENTOS INFORMAIS
Informal settlements in many Brazilian urban centers are growing up quickly. Remote Sensing techniques provide a cost-effective mean to measure such an expansion. In cities with rough topography, like the city of Rio de Janeiro, the initial expansion, predominantly horizontal, is gradually being shifted to vertical, as new floors are being built on the exist
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 13/04/2011
-
28. A GRAPH-MINING BASED METHOD FOR SEGMENTATION AND COUNTING OF LOCAL MAXIMUM CLUSTERS IN DIGITAL IMAGES / UM MÉTODO BASEADO EM MINERAÇÃO DE GRAFOS PARA SEGMENTAÇÃO E CONTAGEM DE CLUSTERS DE MÁXIMOS LOCAIS EM IMAGENS DIGITAIS
Uma imagem monocromática pode ser interpretada como uma superfície topológica e desta forma objetos de interesse podem aparecer como picos (sharp mountains), domos (smooth hills) ou vales (V- or U-shaped). Um domo geralmente contém vários pontos de máximo locais em seu topo. Logo, fica bem caracterizado por um cluster de máximos locais. Segmentar indi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 08/04/2011
-
29. Uma Nova EstratÃgia para Renderizar Descontinuidades e SuperfÃcies Intersectantes em Modelos Baseados em Splats / A New Strategy for Render and Surface Discontinuities in Models Based on Intersecting Splats
Splats based models have gained increasing attention due to its potential for rendering complex geometric models efficiently and with high quality. The absence connectivity information of these models allows complex modeling operations, as Boolean operations, and fractures in physics simulations. However, these operations often generate models with edges and
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/02/2011
-
30. Video segmentation based on motion coherence of particles in a video sequence
This work describes an approach for object-oriented video segmentation based on motion coherence. Using a tracking process based on adaptively sampled points (namely, particles), 2-D motion patterns are identified with an ensemble clustering approach. Particles are clustered to obtain a pixel-wise segmentation in space and time domains. The segmentation resu
Publicado em: 2011
-
31. Segmentação das áreas isquêmicas no acidente vascular cerebral utilizando imagens de tomografia computadorizada de perfusão / Segmentation of ischemic areas in stroke using perfusion computed tomography images
The techniques of digital image processing have been widely applied to medical imaging. One of the benefits brought about by these tools is to provide measurements of parameters that are difficult to estimate and likely to bias the physician. This study aimed to develop semi-automatic software of segmentation of the ischemic areas, core and penumbra in strok
Publicado em: 2011
-
32. Mimetic finite difference methods in image processing
We introduce the use of mimetic methods to the imaging community, for the solution of the initial-value problems ubiquitous in the machine vision and image processing and analysis fields. PDE-based image processing and analysis techniques comprise a host of applications such as noise removal and restoration, deblurring and enhancement, segmentation, edge det
Computational & Applied Mathematics. Publicado em: 2011
-
33. Brain tissue segmentation using q-entropy in multiple sclerosis magnetic resonance images
The loss of brain volume has been used as a marker of tissue destruction and can be used as an index of the progression of neurodegenerative diseases, such as multiple sclerosis. In the present study, we tested a new method for tissue segmentation based on pixel intensity threshold using generalized Tsallis entropy to determine a statistical segmentation par
Brazilian Journal of Medical and Biological Research. Publicado em: 2010-01
-
34. Human brain magnetic resonance-image segmentation and its evaluation / Segmentação de tecidos do cerebro humano em imagens de ressonancia magnetica e sua avaliação
Segmentation of brain tissues from MR-images has become crucial to advance research, diagnosis and treatment in Neurology. Despite the large number of contributions, brain tissue segmentation is still a challenge, due to problems in image acquisition, large data sets, and anatomical variations caused by surgery, pathologies and differences in sex and age. An
Publicado em: 2010
-
35. Segmentação de imagens ultrassonográficas para detecção de nódulos / Segmentation of ultrasound images to detect nodules
Breast cancer is one of the main health problems of the female population and should be faced as an important public health care issue. The ultrasound scanning is considered the most effective in complementary method of breast diagnosis. Nevertheless, the acquisition format of this sort degrades the images in various ways, being the speckle noise of noticeab
Publicado em: 2010
-
36. A novel word boundary detector based on the teager energy operator for automatic speech recognition
This work is part of a major research project and contributes into the development of a speaker-independent speech recognition system for isolated words from a limited vocabulary. It proposes a novel spoken word boundary detection method named TEO-based method for Spoken Word Segmentation (TSWS). Based on the Teager Energy Operator (TEO), the TSWS is present
Publicado em: 2010