Sciweavers

Share
WACV
2002
IEEE

FASU: A Full Automatic Segmenting System for Ultrasound Images

12 years 2 months ago
FASU: A Full Automatic Segmenting System for Ultrasound Images
In this paper, we propose a novel segmenting system for ultrasound images. This solution is separated into three steps. First, we filter noise by using the “peakand-valley” with scanning pixels along the Hilbert curve. Then we use the “Cubic Spline Interpolation” between local peaks and valleys to smooth the image. Second, we present windows adaptive threshold, to eliminate trial and error, as the method for obtaining the right threshold for beginning segmentation. Third, we label distinct, disconnected objects and use our “core area” to detect the object of interest based on the feature knowledge bases. Our method was experimented with liver ultrasound images. We compared the orientation and centroid feature vectors of our Full Automatic Segmenting Ultrasound (FASU) method with the manual segmentation method. The results are fully automatic and confirm the accuracy of our FASU method.
Nualsawat Hiransakolwong, Piotr S. Windyga, Kien A
Added 16 Jul 2010
Updated 16 Jul 2010
Type Conference
Year 2002
Where WACV
Authors Nualsawat Hiransakolwong, Piotr S. Windyga, Kien A. Hua, Khanh Vu
Comments (0)
books