Similarity Metrics for Genetic Adaptation of Segmentation Parameters

FEITOSA, R.Q., FERREIRA, R.S., ALMEIDA, C.M., CAMARGO, F.F., COSTA, G.A.O.P., Similarity Metrics for Genetic Adaptation of Segmentation Parameters. In: 3rd International Conference on Geographic Object-Based Image Analysis, 2010, Ghent, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Enshede: ITC, 2010. v.XXXVII.

PIMAR PROJECT – Monitoring the Atlantic Rainforest Remnants and the Urban Growth of the Rio de Janeiro City (Brazil) through Remote Sensing

CINTRA, D.P., NOVAK, T., REGO, L.F.G., COSTA, G.A.O.P., FEITOSA, R. Q., PIMAR PROJECT – Monitoring the Atlantic Rainforest Remnants and the Urban Growth of the Rio de Janeiro City (Brazil) through Remote Sensing. In: 3rd International Conference on Geographic Object-Based Image Analysis, 2010, Ghent, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Enshede: ITC, 2010. v.XXXVII.

Multiresolution Segmentation: a Parallel Approach for High Resolution Image Segmentation in Multicore Architectures

HAPP, P.N., FERREIRA, R.S., BENTES, C., COSTA, G.A.O.P., FEITOSA, R.Q., Multiresolution Segmentation: a Parallel Approach for High Resolution Image Segmentation in Multicore Architectures. In: 3rd International Conference on Geographic Object-Based Image Analysis, 2010, Ghent, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Enshede: ITC, 2010. v.XXXVII.

Cognitive Approaches and Optical Multispectral Data for Semiautomated Classification of Landforms in a Rugged Mountainous Area

CAMARGO, F.F., ALMEIDA, C.M., COSTA, G.A.O.P., FEITOSA, R.Q., OLIVEIRA, D.A.B., FERREIRA, R.S., HEIPKE, C., Cognitive Approaches and Optical Multispectral Data for Semiautomated Classification of Landforms in a Rugged Mountainous Area. In: 3rd International Conference on Geographic Object-Based Image Analysis, 2010, Ghent, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Enshede: ITC, 2010. v.XXXVII.

A Parallel Method for Object Tracking

FREDRICH, C.M.B., FEITOSA, R.Q., MEGGIOLARO, M.A., A Parallel Method for Object Tracking. In: 17th International Conference on Systems, Signals and Image Processing, 2010, Rio de Janeiro, Proceedings. Niterói: EdUFF, 2010.

Genetic Adaptation of Level Sets Parameters for Medical Imaging Segmentation

OLIVEIRA, D.A.B., FEITOSA, R.Q., CORREIA, M.M., Genetic Adaptation of Level Sets Parameters for Medical Imaging Segmentation. In: Fabio A. Gonzalez; Eduardo Romero. (Org.)Biomedical Image Analysis and Machine Learning Technologies: Applications andTechniques. 1 ed. Nova York: Medical Information Science Reference, 2010, v. 1, p. 150-165.

Using the Cognitive Platform InterIMAGE to Identify Geomorphological Features

COSTA, G.A.O.P; Camargo, F.F.; OLIVEIRA, D.A.B.; ALMEIDA, C.M., FEITOSA, R.Q., FERREIRA, R.S. Using the Cognitive Platform InterIMAGE to Identify Geomorphological Features. In: MIPPR 2009 – Remote Sensing and GIS Data Processing and other Applications, 2009, Yichang, PROCEEDINGS OF SPIE. SPIE, 2009. v.7498.

Liver Segmentation Uusing Level Sets and Genetic Algorithms

OLIVEIRA, D. A. B.; FEITOSA, R.Q.; CORREIA, M.M.; Liver Segmentation Uusing Level Sets and Genetic Algorithms. In: International Conference on Computer Vision Theory and Applications, 2009, Lisboa. Proceedings of International Conference on Computer Vision Theory and Applications, 2009,