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Automatic Tracing of Vocal Fold Motion in High Speed Laryngeal Video

Automatic Tracing of Vocal Fold Motion in High Speed Laryngeal Video. Erik Bieging. Vocal Folds. Glottis. Vocal Fold Imaging. Human vocal folds oscillate at 100 to 400 Hz during normal phonation High-speed digital imaging (4000 frames/sec) is used to study the motion of the vocal folds

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Automatic Tracing of Vocal Fold Motion in High Speed Laryngeal Video

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  1. Automatic Tracing of Vocal Fold Motion in High Speed Laryngeal Video Erik Bieging

  2. Vocal Folds Glottis Vocal Fold Imaging • Human vocal folds oscillate at 100 to 400 Hz during normal phonation • High-speed digital imaging (4000 frames/sec) is used to study the motion of the vocal folds • Automated methods are needed to extract edge of glottis and glottal area

  3. Thresh Current Methods Histogram method • Threshold is applied to separate glottis and vocal fold tissue • Threshold is determined from each frame’s histogram

  4. Region Growing Seeds are started at darkest points in image Regions are grown based on similarity between region pixels and surrounding pixels Active Contour Initial region is defined using thresholding Edge is iteratively moved based on image gradient and several parameters Current Methods

  5. Each column of the image is passed through a smoothing differentiating filter Max and min of derivative are taken to be glottal edges Binary image created Canny edge detection applied to binary image to smooth the edge New Differentiation Based Method

  6. Comparison of Methods High Quality Data: • Original Image • Histogram • Region Growing • Active Contour • New Method (a) (b) (c) (d) (e) Lower Quality Data:

  7. Comparison of Methods

  8. Results • 100 frames from 10 videos were analyzed with each method • Deviation from manually detected glottal area calculated

  9. Computaion Time • Average time to analyze 100 frames: • Histogram: 2.09 min. • Region Growing: 40.98 min. • Active Contour: 67.69 min. • New method: 1.21 min

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