نتایج جستجو برای: automatic segmentation

تعداد نتایج: 198737  

2013
Felice Sun

This thesis presents a prototype system, which integrates statistical and knowledgebased methods, for automatic phonemic segmentation of speech utterances for use in speech production research. First, Aligner, a commercial speech alignment software, synchronizes the speech waveform to the provided text, using hidden Markov models that were trained on phones. Then, a custom built knowledge-based...

1999
Beatriz Marcotegui Paulo Lobato Correia Ferran Marqués Roland Mech Ricardo Rosa Michael Wollborn M. Francisca Zanoguera

In this paper we describe an interactive video object segmentation tool developed in the framework of the ACTSAC098 MOMUSYS project. The Video Object Generator with User Environment (VOGUE) combines three different sets of automatic and semi-automatic tools (spatial segmentation, object tracking and temporal segmentation) with general purpose tools for user interaction. The result is an integra...

2016
Theodoros Theodorou Iosif Mporas Nikos Fakotakis

In this report we present an overview of the approaches and techniques that are used in the task of automatic audio segmentation. Audio segmentation aims to find changing points in the audio content of an audio stream. Initially, we present the basic steps in an automatic audio segmentation procedure. Afterwards, the basic categories of segmentation algorithms, and more specific the unsupervise...

2013
Jane Tufvesson Joey F Ubachs Katarina Steding-Ehrenborg Marcus Carlsson Hakan Arheden Einar Heiberg

Background Automatic segmentation of the left ventricle (LV) is desirable to assess the cardiac parameters end-diastolic volume (EDV), end-systolic volume (ESV), ejection fraction (EF) and left ventricular mass (LVM) since manual segmentation is time consuming and observer dependent. A physiologically correct segmentation of the left ventricle requires careful consideration of the long axis dis...

2002
Carolina Wählby Joakim Lindblad Mikael Vondrus Ewert Bengtsson Lennart Björkesten

Automatic cell segmentation has various applications in cytometry, and while the nucleus is often very distinct and easy to identify, the cytoplasm provides a lot more challenge. A new combination of image analysis algorithms for segmentation of cells imaged by fluorescence microscopy is presented. The algorithm consists of an image pre-processing step, a general segmentation and merging step f...

Journal: :BioMedical Engineering OnLine 2018

Journal: :Revista Brasileira de Computação Aplicada 2020

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