Paper Info
Title
ROI detection in high speed laryngeal images
Abstract
The present work describes a new procedure to find the region of interest with a high speed laryngeal video sequence. This approach is based on analyzing the average intensity variations both in the columns and in the rows of the images. The first variations to take into account are those arising in each column. The graphics obtained from these variations will resemble to a Gaussian, where the maximum peak will be the column with the most average intensity variation. In order to determine the cut-off points, the data is fitted to a Gaussian distribution; the mean value will be the maximum intensity variation and the tolerance interval will be used to generate the boundaries for the new image. The procedure described above will be repeated by using the new sequence obtained, but for the average intensity variation in the rows. In this way we obtain the region of interest (ROI). The performance, effectiveness and validation of this approach was proved in 18 high speed digital videos, in which the images have an inappropriate closure of the vocal folds.
Year
DOI
Venue
2014
10.1109/ISBI.2014.6867912
Biomedical Imaging
Keywords
Field
DocType
Gaussian distribution,biological organs,biomedical optical imaging,image sequences,medical image processing,video signal processing,Gaussian distribution,ROI detection,average intensity variation,high speed digital videos,high-speed laryngeal images,high-speed laryngeal video sequence,region-of-interest,Glottal gap,HSDI,ROI,vocal fold
Computer vision,Computer science,Speech recognition,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
1945-7928
0
0.34
References 
Authors
3
4
Name
Order
Citations
PageRank
Gustavo Andrade-Miranda131.83
Juan Ignacio Godino-Llorente200.34
Andrade-Miranda, G.300.34
Godino-Llorente, J.I.418014.39