Image Feature Extraction
Mostrando 1-12 de 39 artigos, teses e dissertações.
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1. Global and Local Oriented Gabor Texture Histogram for Person Re-identification
ABSTRACT: Automated person re-identification is a key process in global distributed camera systems. This paper proposes a new feature, the Global and Local-Oriented Gabor Texture Histogram (GLOGTH), for person re-identification. GLOGTH is a combination of the local texture and global structure information of a given input image. This feature aims at represen
Braz. arch. biol. technol.. Publicado em: 25/11/2019
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2. Breast density pattern characterization by histogram features and texture descriptors
Abstract Introduction Breast cancer is the first leading cause of death for women in Brazil as well as in most countries in the world. Due to the relation between the breast density and the risk of breast cancer, in medical practice, the breast density classification is merely visual and dependent on professional experience, making this task very subjective
Res. Biomed. Eng.. Publicado em: 06/04/2017
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3. 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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4. Texture analysis of masses in digitized mammograms using Gleason and Menhinick diversity indexes
INTRODUCTION: Breast cancer is the second most common type of cancer in the world, being more common among women and representing 22% of all new cancer cases every year. The sooner it is diagnosed, the better the chances of a successful treatment are. Mammography is one way to detect non-palpable tumors that cause breast cancer. However, it is known that the
Rev. Bras. Eng. Bioméd.. Publicado em: 2014-03
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5. Mineração de imagens médicas utilizando características de forma / Medical image supported by shape features
Bases de imagens armazenadas em sistemas computacionais da área médica correspondem a uma valiosa fonte de conhecimento. Assim, a mineração de imagens pode ser aplicada para extrair conhecimento destas bases com o propósito de apoiar o diagnóstico auxiliado por computador (Computer Aided Diagnosis - CAD). Sistemas CAD apoiados por mineração de imagen
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 10/04/2012
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6. 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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7. Automatic hippocampus segmentation through similarity cloud / Segmentação da estrutura cerebral hipocampo por meio de nuvem de similaridade
The hippocampus is a particular structure that plays a main role in human memory systems. Tissue modifications of the hippocampus lead to neurodegenerative diseases as epilepsy, multiple sclerosis, and dementia, among others. To measure hippocampus atrophy, it is crucial to get its isolated representation from the whole brain volume. Separating the hippocamp
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 03/08/2011
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8. HQ feature: descritores de forma utilizando a curva de Hilbert
A classificação e recuperação por similaridade baseadas em descritores de formas são processos de grande importância em tarefas de reconhecimento de padrões e recuperação de formas baseada em conteúdo. O desenvolvimento de descritores eficientes para caracterizar a forma ainda é um desafio. Este trabalho se concentra no desenvolvimento de novos ex
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/02/2011
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9. Measuring statistical geometric properties of tomographic images of soils
Porous media modeling is relevant in several applications, such as agricultural engineering, where soil compaction analysis requires the estimation of soil transport properties. For example, the prediction of root growing patterns and their environmental impact is usually measured by analyzing soil fluid infiltration capacity and water retention. Recently, t
Publicado em: 2011
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10. Identificação de bovinos através de reconhecimento de padrões do espelho nasal utilizando redes neurais artificiais / Identification of bovines through recognition of images patterns of the muzzle using artificial neural nets
Artificial Neural Networks (ANN) are mathematical models associated with artificial intelligence that can learn and generalize information, therefore they can be used as images classifiers. This paper aims to analyze the cattle muzzle in order to prove that it is a unique and permanent characteristic of the animal thus, being used as its unique identificatio
Publicado em: 2011
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11. On-line SLAM using clustered landmarks with omnidirectional vision
The problem of SLAM (simultaneous localization and mapping) is a fundamental problem in autonomous robotics. It arises when a robot must create a map of the regions it has navigated while localizing itself on it, using results from one step to increase precision in another by eliminating errors inherent to the sensors. One common solution consists of establi
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2010-12
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12. Construção de atributos binários baseada em análise de interações / Binary feature extraction based on interaction analysis
Este trabalho trata do problema da construção de atributos para classificação quando atributos e rótulos são binários. A abordagem adotada visa reduzir efeitos de interação entre atributos, amenizando a necessidade dos classificadores lidarem com essas interações. Para tanto, é introduzida uma nova técnica que usa uma matriz de cálculo de parid
Publicado em: 2010