Image Segmentation
Mostrando 13-24 de 172 artigos, teses e dissertações.
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13. Volumetric T1 and T2 magnetic resonance brain toolkit for relaxometry mapping simulation
Abstract Introduction Relaxometry images are an important magnetic resonance imaging (MRI) technique in the clinical routine. Many diagnoses are based on the relaxometry maps to infer abnormal state in the tissue characteristic relaxation constant. In order to study the performance of these image processing approaches, a controlled simulated environment is
Res. Biomed. Eng.. Publicado em: 10/10/2016
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14. Image segmentation and particles classification using texture analysis method
Introduction: Ingredients of oily fish include a large amount of polyunsaturated fatty acids, which are important elements in various metabolic processes of humans, and have also been used to prevent diseases. However, in an attempt to reduce cost, recent developments are starting a replace the ingredients of fish oil with products of microalgae, that also p
Res. Biomed. Eng.. Publicado em: 09/09/2016
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15. Generation of 3D ultrasound biomicroscopic images: technique validation and in vivo volumetric imaging of rat lateral gastrocnemius
Introduction Ultrasound biomicroscopy (UBM) is a technique for generating high-resolution images, with frequencies from 20 MHz to 100 MHz. For example, it has been used in animal research related to models of injury and diseases that mimic human conditions. With a three-dimensional ultrasound (3D) image system, an organ can be viewed at various angles and t
Res. Biomed. Eng.. Publicado em: 2015-04
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16. Automatic identification of tuberculosis mycobacterium
Introduction According to the Global TB control report of 2013, “Tuberculosis (TB) remains a major global health problem. In 2012, an estimated 8.6 million people developed TB and 1.3 million died from the disease. Two main sputum smear microscopy techniques are used for TB diagnosis: Fluorescence microscopy and conventional microscopy. Fluorescence micro
Res. Biomed. Eng.. Publicado em: 2015-03
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17. Hydrophobicity Classification of Polymeric Insulators Based on Embedded Methods
Hydrophobicity is an important parameter to characterize electrical properties of insulated materials. Therefore, it is an urgent task to develop on-line instruments to identify the hydrophobicity of insulated material's surface conveniently, quickly and accurately. For this purpose, a novel evaluation system with image processing and decision tree is propos
Mat. Res.. Publicado em: 2015-02
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18. Automatic segmentation and classification of blood components in microscopic images using a fuzzy approach
INTRODUCTION: Automatic detection of blood components is an important topic in the field of hematology. Segmentation is an important step because it allows components to be grouped into common areas and processed separately. This paper proposes a method for the automatic segmentation and classification of blood components in microscopic images using a genera
Rev. Bras. Eng. Bioméd.. Publicado em: 2014-12
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19. Lung disease detection using feature extraction and extreme learning machine
INTRODUCTION: The World Health Organization estimates that by 2030 the Chronic Obstructive Pulmonary Disease (COPD) will be the third leading cause of death worldwide. Computerized Tomography (CT) images of lungs comprise a number of structures that are relevant for pulmonary disease diagnosis and analysis. METHODS: In this paper, we employ the Adaptive Cris
Rev. Bras. Eng. Bioméd.. Publicado em: 2014-09
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20. Avaliação de algoritmos de agrupamento em grafos para segmentação de imagens / Evaluation of graph clustering algorithms for images segmentation
A segmentação de imagens e, em visão computacional, uma tarefa de grande importância, para a qual existem várias abordagem. A complexidade de tais abordagens está relacionada à natureza da imagem e também ao grau de precisão da segmentação, que e um conceito bastante subjetivo, normalmente associado a semelhança que apresenta a segmentaçã produ
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 12/11/2012
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21. Segmentação de pessoas em imagens estáticas baseada em esqueleto
The segmentation of people (automatic or semi-automatic) in still images is a very challenging task, mainly due to several factors in the real world, such as those related to the lighting of the scene where the image was captured, shadows, image noise, occlusions, high similarity of the object of interest with the background of the scene and the lack of info
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 20/04/2012
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22. Quantificação da dinâmica de estruturas em imagens de medicina nuclear na modalidade PET. / Quantification of dynamic structures in nuclear medicine images in the PET modality.
A presença que tem hoje a Medicina Nuclear como modalidade de obtenção de imagens médicas é muito importante e um dos principais procedimentos utilizados hoje nos centros de saúde, tendo como grande vantagem a capacidade de conseguir analisar o comportamento metabólico do paciente, fazendo possíveis diagnósticos precoces. Este projeto está baseado
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 10/02/2012
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23. Um algoritmo de segmentação de íris em tempo real / An iris segmentation algorithm in real time
Iris segmentation is one of the crucial operations involved in iris recognition. Accurate iris segmentation is fundamental for the success and precision of the subsequent feature extraction and recognition, and consequently the high performance level of the iris recognition system. Most iris segmentation approaches proposed in the literature require highly c
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/12/2011
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24. Segmentação de imagens via competição entre regiões fuzzy: abordagens paramétricas e não-paramétricas
A segmentação de imagens é uma importante etapa existente nos sistemas de reconhecimento de padrões e extração de características. Seu objetivo é subdividir uma imagem em suas regiões constituintes. Dentre os diversos trabalhos publicados na literatura, destacam-se os métodos baseados em princípios variacionais, que são ferramentas eficazes para
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 23/08/2011