Segmentation Of Images
Mostrando 13-24 de 128 artigos, teses e dissertações.
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13. A fully automatic method for recognizing hand configurations of Brazilian sign language
Abstract Introduction Sign language is a collection of gestures, postures, movements, and facial expressions used by deaf people. The Brazilian sign language is Libras. The use of Libras has been increased among the deaf communities, but is still not disseminated outside this community. Sign language recognition is a field of research, which intends to help
Res. Biomed. Eng.. Publicado em: 2017-03
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14. Novel Image Classification technique using Particle Filter Framework optimised by Multikernel Sparse Representation
ABSTRACT The robustness and speed of image classification is still a challenging task in satellite image processing. This paper introduces a novel image classification technique that uses the particle filter framework (PFF)-based optimisation technique for satellite image classification. The framework uses a template-matching algorithm, comprising fast march
Braz. arch. biol. technol.. Publicado em: 23/01/2017
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15. 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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16. 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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17. Reticular pattern detection in dermoscopy: an approach using Curvelet Transform
Abstract Introduction Dermoscopy is a non-invasive in vivo imaging technique, used in dermatology in feature identification, among pigmented melanocytic neoplasms, from suspicious skin lesions. Often, in the skin exam is possible to ascertain markers, whose identification and proper characterization is difficult, even when it is used a magnifying lens and a
Res. Biomed. Eng.. Publicado em: 07/07/2016
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18. Micro-CT evaluation of the radioprotective effect of resveratrol on the mandibular incisors of irradiated rats
Abstract The purpose of this study was to perform a microcomputed tomographic evaluation of the radioprotective effect of resveratrol on the volume of mandibular incisors of irradiated rats. A second aim was to make a quantitative assessment of the effect of x-ray exposure on these dental tissues. Twenty adult male rats were divided into four groups: control
Braz. oral res.. Publicado em: 08/03/2016
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19. A robust fully automatic lumen segmentation method for in vivo intracoronary optical coherence tomography
Abstract Introduction: Intravascular optical coherence tomography (IVOCT) is an in-vivo imaging modality based on the introduction of a catheter in a blood vessel for viewing its inner wall using electromagnetic radiation. One of the most developed automatic applications for this modality is the lumen area segmentation, however on the evaluation of these me
Res. Biomed. Eng.. Publicado em: 05/02/2016
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20. 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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21. 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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22. A systematic review on the evaluation and characteristics of computer-aided diagnosis systems
INTRODUCTION: One of the challenges in developing Computer-Aided Diagnosis (CAD) systems is their accurate and comprehensive assessment. This paper presents the conduction and results of a systematic review (SR) that aims to verify the state of the art regarding the assessment of CAD systems. This survey provides a general analysis of the current status of t
Rev. Bras. Eng. Bioméd.. Publicado em: 2014-12
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23. 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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24. Segmenting mammographic microcalcifications using a semi-automatic procedure based on Otsu's method and morphological filters
INTRODUCTION: Breast cancer has the second highest world's incidence rate, according to the Brazilian National Cancer Institute (INCa). Clinical examination and mammography are the best methods for early diagnosis. Computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems are developed to improve mammographic diagnosis. Basically, CADx syst
Rev. Bras. Eng. Bioméd.. Publicado em: 2013-12