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Automatic segmentation of digital images applied in cardiac medical images
(2010-07-09)
The digital image processing has been applied in several areas, especially where it is necessary use tools for feature extraction and to get patterns of the studied images. In an initial stage, the segmentation is used to ...
Supportive Environment for Teaching and Learning Digital Image Processing
(Ieee, 2015-01-01)
Digital Image Processing (DIP) consists of a set of techniques to acquire, represent and transform digital images. Through these techniques, it is possible to extract and identify information of images and improve the ...
Supportive environment for teaching and learning digital image processing
(2015-12-02)
Digital Image Processing (DIP) consists of a set of techniques to acquire, represent and transform digital images. Through these techniques, it is possible to extract and identify information of images and improve the ...
Pitch detection algorithms based on zero-cross rate and autocorrelation function for musical notes
(2008-09-22)
This paper discusses two pitch detection algorithms (PDA) for simple audio signals which are based on zero-cross rate (ZCR) and autocorrelation function (ACF). As it is well known, pitch detection methods based on ZCR and ...
A photogrammetric method for single image orientation and measurement
(2005-06-01)
The aim of this paper is to present a photogrammetric method for determining the dimensions of flat surfaces, such as billboards, based on a single digital image. A mathematical model was adapted to generate linear equations ...
Evaluation epidermal p53 immunostaining by digital image analysis
(2013-02-01)
Digital techniques have been developed and validated to assess semiquantitatively immunohistochemical nuclear staining. Currently visual classification is the standard for qualitative nuclear evaluation. Analysis of pixels ...
A digital image processing-based automatic method for measuring rice panicle lengths.
(In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 9., 2013, Cuiabá. Agroinformática: inovação para a sustentabilidade do agronegócio brasileiro: anais. Cuiabá: Universidade Federal de Mato Grosso, 2013., 2013)