Variational Level Set Algorithm in Image Segmentation for Foetus Ultrasound Imaging System

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dc.contributor.authorMei Yeen Choong
dc.contributor.authorMay Chin Seng
dc.contributor.authorAroland Kiring
dc.contributor.authorSoo Siang Yang
dc.contributor.authorKenneth Tze Kin Teo
dc.date.accessioned2023-06-06T07:43:08Z
dc.date.available2023-06-06T07:43:08Z
dc.date.issued2012
dc.descriptionModelling, Simulation & Computing Laboratory, Material & Mineral Research Unit School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu, Malaysia msclab@ums.edu.my, ktkteo@ieee.org
dc.description.abstractSegmentation on ultrasound image is difficult when the image is not clear and contains unwanted noise. Since the object to be segmented out can be changing in shape for a period of time, there is a need to apply a computerised segmentation method for future analysis without any assumptions about the object’s topology is made. In general, when performing pregnancy ultrasound scanning, seeking a snapshot with best position or angle of the foetus is often a task done by obstetrician. This snapshot is useful for the obstetrician to locate the crown and the rump of the foetus for specific measurement. In this paper, a computerized segmentation using variational level set algorithm (VLSA) is proposed here. Results showed the variational level set contour evolved well on the low contrast and noise consisting ultrasound image.
dc.identifier.urihttps://digitallibrary.peninsulacollege.edu.my/handle/123456789/338
dc.titleVariational Level Set Algorithm in Image Segmentation for Foetus Ultrasound Imaging System
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