@article{lclima09,
author = { L. C. de Lima and M. M. G. Macedo and M. P. de Albuquerque and MARCELO P. de Albuquerque and R. A. Simao},
title = {Morphological Characterization of The Surface of Nanoporous Aluminum Oxide by AFM and Laws of Scale},
journal = {Nano},
volume = {4},
number = {4},
pages = {157},
year = {2009},
doi = {10.1142/S1793292009001630},
http = {http://www.worldscinet.com/nano/04/0403/S1793292009001630.html},
keywords = {Fractal dimension, AFM, porous aluminum oxide},
abstract = {This article presents a morphological, chemical, and fractal dimension study of
the time evolution of aluminum AC anodization in 1 M H3PO4 solution. The morphological analysis was
accomplished by Atomic Force Microscopy (AFM) and Scanning Electron Microscopy (SEM). According
to SEM, ordered porous pattern was already observed after 90 s of anodization, yet AFM revealed a
different surface morphology evolution. Stripes were observed on the surface at the initial stages of anodization,
developing to the formation of a complete phosphate layer at an intermediate stage and finally, to a porous structure
at the steady stage. The phosphate layer was observed by AFM as well as by Auger Electron Spectroscopy (AES).
Nevertheless, it could not be noticed by SEM. AFM data were quantified by fractal dimension and no significant changes
in terms of fractal dimension were found in the function of the anodization time.}
}
@inproceedings{ismrm,
author = {M. M. G. Macedo and C. Mekkaoui and M. Jackowski},
title = {Towards Robust and Fast Vessel Extraction From MRA Images},
booktitle = {International Society for Magnetic Resonance in Medicine - ISMRM},
year = {2011},
editor = {},
publisher = {},
note = {},
address = {Canada},
pdf = {arquivo/poster_ismrm.pdf},
keywords = {MRA image, vessel tracking},
abstract = {An increasing demand for sophisticated tools to characterize the integrity and functional state of vascular networks from different
imaging modalities has emerged. Currently available tools are time-consuming and limited in their ability to assess the state of vascular architectures,
hence there is a need for developing robust and fast computer-based techniques for extracting vessel trajectories as well as estimate their diameters.
Towards this goal, we evaluate a novel technique based on the well-known Hough transform (HT) to dynamically estimate the trajectory and vessel
diameter without resorting to time-consuming multiscale techniques1. Results are validated using synthetic datasets and applied on a magnetic
resonance angiography (MRA) image of a human brain.}
}
@inproceedings{cinapce10,
author = {M. M. G. Macedo and C. Mekkaoui and M. Jackowski},
title = {Vessel Cross-section Tracking in CTA and MRA Images Using Hough Transform},
booktitle = {IV Workshop Cinapce},
number = {4},
year = {2010},
keywords = {lumen segmentation, vessel tracking, CTA, MRA}
}
@inproceedings{ciarp,
author = {M. M. G. Macedo and C. Mekkaoui and M. Jackowski},
title = {Vessel Centerline Tracking in CTA and MRA Images Using Hough Transform},
booktitle = {15th Iberoamerican Congress on Pattern Recognition - CIARP},
volume = {25},
number = {10},
year = {2010},
publisher = {Springer},
doi = {10.1007/978-3-642-16687-7_41},
http = {http://www.springerlink.com/content/c4v07443u05l3688/},
keywords = {lumen segmentation, vessel tracking, Hough transform, angiographic images, CTA, MRA},
abstract = {In this paper, we present a 3d face photography system based on a
facial expression training dataset, composed of both facial range images (3d
geometry) and facial texture (2d photography). the proposed system allows to
obtain a 3d geometry representation of a given face provided as a 2d
photography, which undergoes a series of transformations through the texture
and geometry spaces estimated. in the training phase of the system, the facial
landmarks are obtained by an active shape model (asm) extracted from the 2d
gray-level photography. principal components analysis (pca) is then used to
represent the face dataset, thus defining an orthonormal basis of texture and
another of geometry. in the reconstruction phase, an input is given by a face
image to which the asm is matched. the extracted facial landmarks and the face
image are fed to the pca basis transform and a 3d version of the 2d input image
is built. experimental tests using a new dataset of 70 facial expressions
belonging to ten subjects as training set show rapid reconstructed 3d faces
which maintain spatial coherence similar to the human perception, thus
corroborating the efficiency and the applicability of the proposed system.}
}
@inproceedings{cilamce,
author = {D. Oliveira and Marcelo P. Albuquerque and M. M. G. Macedo and M.P. Albuquerque and D. Pina and S. Duarte},
title = {Calibração de aparelhos de Raio-X em imagens de tomografia de crânio e tórax},
booktitle = {Congresso Ibero Latino-Americano sobre Métodos Computacionais em Engenharia - CILAMCE},
year = {2007},
editor = {},
publisher = {},
address = {Portugal},
note = {},
pdf = {http://cbpfindex.cbpf.br/publication_pdfs/p541.2007_10_24_08_40_13.pdf},
keywords = {física médica, tomografia, extração de características},
abstract = {O processamento de imagens digitais pode ser aplicado como ferramenta de
auxílio em diagnósticos médicos. Neste sentido, o presente trabalho mostra técnicas de
análise de tomografias de crânio e tórax obtidas a partir de um fantôma antropomórfico,
onde algoritmos de processamento de imagens são propostos a fim de medir as áreas das
regiões de tecido ósseo, tecido mole e ar do fantôma. Em seguida uma reconstrução 3D é
apresentada com o objetivo de obter o volume e visualizar essas regiões. Os parâmetros
medidos mostram a robustez do método proposto por meio da comparação com valores
obtidos pelo programa Voxar-3D e com valores analíticos de um fantôma virtual. Os
resultados alcançados permitem a calibração de aparelhos de raios-X e constituem
informações importantes para a fabricação de novos modelos antropomórficos.}
}
@inproceedings{micro,
author = { L. C. de Lima and M. M. G. Macedo and M. P. de Albuquerque and MARCELO P. de Albuquerque and R. A. Simao},
title = {Morphologic characterization of the surface of porous aluminum oxide for AFM and Laws of Scale},
booktitle = {Congresso da Sociedade Brasileira de Microscopia e Microanálise},
year = {2007},
editor = {},
publisher = {},
address = {Brazil}
}
@inproceedings{geometry,
author = {M. M. G. Macedo and A. Conci},
title = {An Approach For Generic Detection of Conic Form},
booktitle = {12TH International Conference On Geometry and Graphics},
year = {2006},
editor = {},
publisher = {},
note = {},
pdf = {arquivo/GenericDetectionConic.pdf},
keywords = {Feature Extraction, Geometry, Hough Transform, Conics},
abstract = {In this paper we introduce a unique methodology to detect any conic form by using
Hough transform which is an established method for shape detection. This technique works based
on features extraction for each conic separately and intend to unify all type of Hough detection in
only one. Once we have the conic's parameters it is possible to build an accumulator array named
parameter space where the most voted set of parameters is the chosen form. To build this
accumulator, a range of values is set up and each value is a real parameter candidate. The length of
which cell depends on the accuracy desirable and the dimension depends on the type of conic. This
transform maps points from digital space to parameters space in order to match the point of the
chosen form to the form in the real image. In this way it is much easier to reconstruct the conic form
whenever it is necessary and to detect a form from artificial images or handmade drawing.
Although each form has one different equation and number of parameters, we realized it follows a
pattern and concluded that is possible to elaborate a generic equation and a methodology to detect
any conic. The use of polar coordinates makes the generic detection easier because of the rotations
variety detection. In addition, the order of search is important. We observed that the detection result
is better if the searching for the correct rotation is the first step. Another relevant thing is the chosen
length of bins in the accumulator which really defines a better match. This paper involves analysis
about each conic equation, their similarities, number of parameters and how they can be introduced
by a unique expression for Hough transform.}
}
@inproceedings{iwssi,
author = {M. M. G. Macedo V. Mendes and F. Leta and A. Conci},
title = {Using Hough Transform as an Auxiliary Technique for Vickers Hardness Measurement},
booktitle = {13th International Conference on Systems, Signals & Image Processing},
year = {2006},
editor = {},
publisher = {},
note = {},
address = {Budapeste},
pdf = {arquivo/IWSSIP2006_vfinal_camerapaperFinal.pdf},
keywords = {Vickers hardness tests, Hough transform, Measurement by image},
abstract = {Hardness measurement is commonly used in
industrial applications f or quality control and products
conf ormity tests, because it is f ast, cheap and relatively non-
destructive. Once the main error causes in hardness
measurement is the indentation, this paper presents some
possible approaches to measure hardness indentation
automatically. It compares the use of some computer vision
techniques, including Hough transf orm, to detect and
analyze important parameters on the def inition of material
Vickers hardness. We highlight the main problems involved
in this measurement and comment the automatic
possibilities to obtain accurate results.}
}
@inproceedings{sucesu,
author = {M. M. G. Macedo and A. Conci},
title = {Um Sistema para Controle de Qualidade de Medicamentos.},
booktitle = {Anais do IX Congresso de Informática e Telecomunicações SUCESU-MT},
year = {2004},
editor = {},
publisher = {},
note = {},
address = {Brazil},
pdf = {arquivo/detecao_circulos_corrigido.pdf},
keywords = {Hough transform, shape detection},
abstract = {This paper presents a system developed in order to detect fails in the
industrial production of pills. The main idea is based on the Hough transform
methodology for quality control of drugs in circle form of predefined
dimension and perfect shape. This detection occurs during the medicine
industrial production to detect pills with imperfect edges.}
}
@inproceedings{minas,
author = {M. M. G. Macedo and A. Conci},
title = {Detection of Generic Conic Form Parameters Using Hough Transform},
booktitle = {Conference on Graphics, Patterns and Images - SIBGRAPI},
year = {2007},
editor = {},
publisher = {},
note = {},
address = {Brazil},
keywords = {Hough transform, generic form}
}
@inproceedings{manaus,
author = {D. Oliveira and Marcelo P. Albuquerque and M. M. G. Macedo and M.P. Albuquerque},
title = {Detection of Brazilian License Plate Region for different classes of Images},
booktitle = {Conference on Graphics, Patterns and Images - SIBGRAPI},
year = {2006},
editor = {},
publisher = {},
note = {},
address = {Brazil},
pdf = {arquivo/detection.pdf},
keywords = {licence plate region, digital image},
abstract = {}
}
@inproceedings{cinapce11,
author = {M. M. G. Macedo and C. Mekkaoui and M. Jackowski},
title = {Towards Bifurcation Analysis in Vessel Tracking},
booktitle = {V Workshop CiNAPCE- Cooperação Interinstitucional de Apoio a Pesquisas sobre o Cérebro},
year = {2011},
editor = {},
publisher = {},
note = {},
address = {Brazil},
pdf = {arquivo/poster_cinapce2011.pdf},
keywords = {vessel tracking, MRA images, blood vessels},
abstract = {}
}
@techreport{oliveira,
author = {D. Oliveira and Marcelo P. Albuquerque and M. M. G. Macedo and M.P. Albuquerque and D. Pina and S. Duarte},
title = {Aplicação de Física Médica em imagens de Tomografia de Crânio e Tórax},
institution = {Brazilian Center of Physics Research - CBPF},
year = {2006},
type = {Technical Report},
number = {004/6},
address = {Brazil},
http = {http://cbpfindex.cbpf.br/publication_pdfs/nt00406.2006_07_17_12_49_19.pdf}
}
@techreport{entropia,
author = {M. P. de Albuquerque and MARCELO P. de Albuquerque and D. Oliveira and M. M. G. Macedo and I. A. ESQUEF},
title = {Técnica de segmentação de imagens por entropia relativa não extensiva},
institution = {Brazilian Center of Physics Research - CBPF},
year = {2006},
type = {Technical Report},
number = {003/06},
address = {Brazil},
pdf = {http://cbpfindex.cbpf.br/publication_pdfs/nt00306.2010_09_28_12_20_18.pdf}
}
@techreport{fractal,
author = {M. M. G. Macedo and L. C. de Lima and D. Oliveira and M. P. de Albuquerque and MARCELO P. de Albuquerque},
title = {Cálculo da rugosidade e dimensão fractal de materiais nano-estruturados},
institution = {Brazilian Center of Physics Research - CBPF},
year = {2011},
type = {Technical Report},
number = {005/10},
address = {Brazil},
pdf = {http://cbpfindex.cbpf.br/publication_pdfs/NT00510.2011_02_08_15_17_50.pdf}
}
@techreport{jihan,
author = {J. M. ZOGHBI and L. F. O. C. REAL and , M. M. G. MACEDO and M. P. JACKOWSKI and M. MAMEDE},
title = {Semi-automated Segmentation of Brain Tumor from a Multi-sequence Magnetic Imaging Using Mumford-shah via Level Set},
institution = {Conference on Graphics, Patterns and Images - Technical Video - SIBGRAPI 2011 - Video Festival / Single Track},
year = {2011},
type = {Technical Video},
number = {},
address = {Brazil},
http = {http://youtu.be/_ixLHcr8U-U}
}
@techreport{MMacedo10,
title = {Blood vessel tracking in {MRA} images},
author = {M. M. G. Macedo and J. P. Mena-Chalco and C. Mekkaoui and M. P. Jackowski},
note = {Conference on Graphics, Patterns and Images - Technical Video - SIBGRAPI 2010 - Video Festival / Single Track},
year = {2010},
http = {http://www.vision.ime.usp.br/~maysa/videosib.html}
}
@incollection{patente1,
author = {Marcelo P. Albuquerque and M.P. Albuquerque and M. M. G. Macedo and D. Oliveira and L. C. Lima},
title = {Método para determinação da dimensão fractal através da avaliação da rugosidade de uma superfície e aparato para determinação da dimensão fractal},
booktitle = {Patent},
year = {2008},
editor = {},
publisher = {},
note = {},
address = {Brazil},
keywords = {rugosidade, AFM, aluminum, nanoestruturas},
abstract = {}
}
@incollection{patente2,
author = {Marcelo P. Albuquerque and M.P. Albuquerque and M. M. G. Macedo and D. Oliveira},
title = {Processo de detecção da região de caracteres em imagens digitais},
booktitle = {Patent},
year = {2006},
editor = {},
publisher = {},
note = {},
address = {Brazil},
keywords = {licence plate detection, characters region},
abstract = {}
}
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