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Contour extraction algorithms

The basic idea is to extract firstly "sure" contours contour segment extremities are identified by studying the local neighbourhood of each pixel. The aim of closing contours algorithm is to find the best path between two points that are extremities of the gap to fulfil. [Pg.528]

Hirst [212] describes this system in detail and shows how it can be applied to all the major languages. Several algorithms have also been developed for extracting the labels automatically from the acoustics and for synthesizing FO contours from the labels. Applications of this model to synthesis include Veronis et al [475],... [Pg.242]

FIGURE 28.2 MBIP for extracting PDF parameters from clinical E-wave contours. The Levenberg-Marquardt algorithm is applied to user-selected E-wave contour data as input to yield best-fit PDF parameters as output and a measure of goodness of fit denotes the unknown parameter value until the final fitting step. [Pg.564]

See other pages where Contour extraction algorithms is mentioned: [Pg.752]    [Pg.752]    [Pg.250]    [Pg.247]    [Pg.154]    [Pg.50]    [Pg.286]    [Pg.600]    [Pg.227]    [Pg.137]    [Pg.73]    [Pg.81]    [Pg.96]    [Pg.293]    [Pg.107]    [Pg.225]   
See also in sourсe #XX -- [ Pg.12 , Pg.29 ]



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